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05-01-2016
jmoseley
Quartz | Level 8
Member since
02-23-2016
- 46 Posts
- 6 Likes Given
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Latest posts by jmoseley
Subject Views Posted 6184 05-01-2016 11:27 PM 6218 04-30-2016 10:05 PM 353 04-30-2016 01:02 PM 354 04-30-2016 12:59 PM 2667 04-26-2016 07:49 PM 2703 04-26-2016 07:34 PM 2712 04-26-2016 07:22 PM 2720 04-26-2016 07:01 PM 2730 04-26-2016 06:24 PM 686 04-20-2016 07:13 PM -
Activity Feed for jmoseley
- Got a Like for Re: How do we find the interaction between two variables when running SAS for the prediction equatio. 05-02-2016 12:12 AM
- Posted Re: How do we find the interaction between two variables when running SAS for the prediction equatio on SAS Procedures. 05-01-2016 11:27 PM
- Posted How do we find the interaction between two variables when running SAS for the prediction equation on SAS Procedures. 04-30-2016 10:05 PM
- Posted Re: Please help me solve for the regression analysis and interaction of two variables. on SAS Procedures. 04-30-2016 01:02 PM
- Posted Re: Pleased help me solve for the regression analysis and interaction of two variables. on SAS Procedures. 04-30-2016 12:59 PM
- Liked Re: Pleased help me solve for the regression analysis and interaction of two variables. for SteveDenham. 04-30-2016 12:59 PM
- Posted Re: Pleased help me solve for the regression analysis and interaction of two variables. on SAS Procedures. 04-26-2016 07:49 PM
- Posted Re: Pleased help me solve for the regression analysis and interaction of two variables. on SAS Procedures. 04-26-2016 07:34 PM
- Posted Re: Pleased help me solve for the regression analysis and interaction of two variables. on SAS Procedures. 04-26-2016 07:22 PM
- Posted Re: Pleased help me solve for the regression analysis and interaction of two variables. on SAS Procedures. 04-26-2016 07:01 PM
- Posted Pleased help me solve for the regression analysis and interaction of two variables. on SAS Procedures. 04-26-2016 06:24 PM
- Posted How do I determine an effect size for a given variable in SAS example "statistics anxiety score" on SAS Procedures. 04-20-2016 07:13 PM
- Posted Re: how do we determine the effect size (f 2) associated with the variable “Statistics Anxiety score on SAS Procedures. 04-19-2016 08:52 PM
- Posted how do we determine the effect size (f 2) associated with the variable “Statistics Anxiety score" on SAS Procedures. 04-19-2016 08:21 PM
- Posted Re: Resid error in Multiple regression syntax. Having trouble identifying error in syntax please hel on SAS Procedures. 04-17-2016 09:29 PM
- Posted Resid error in Multiple regression syntax. Having trouble identifying error in syntax please help. on SAS Procedures. 04-17-2016 03:20 PM
- Posted Re: Errors in proc REG multiple regression syntax on SAS Programming. 04-17-2016 02:37 PM
- Posted Re: Errors in proc REG multiple regression syntax on SAS Programming. 04-17-2016 01:22 PM
- Posted Errors in proc REG multiple regression syntax on SAS Programming. 04-17-2016 12:54 PM
- Liked Re: How do I change SAS Linear regression syntax to correct dependent "sleeptime' for Reeza. 03-29-2016 06:23 PM
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Posts I Liked
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Subject Likes Posted 1 05-01-2016 11:27 PM
05-01-2016
11:27 PM
1 Like
Hi Reeza, Thank you so very much for all your help. Believe it or not but I have benefited under your tutelage, You do exude a passion for your subject which is a motivation to me. Statistics has never been my forte but you have not only provided me with answers but challenged me to focus on each aspect of the code. I am a work in progress but I believe that I will get there. Again thank you very much, Josie
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04-30-2016
10:05 PM
data PEC;
input energyconservationscale studentattitudesscale gender $;
interaction studentattitudesscale * gender $;
datalines;
50 30 male
50 46 Female
30 45 male
38 36 Female
41 30 male
15 15 Female
20 38 male
15 50 Female
45 37 male
25 37 Female
45 47 male
50 29 Female
22 36 male
48 36 Female
40 37 male
30 14 Female
38 48 male
12 38 Female
12 18 male
15 25 Female
10 36 male
45 29 Female
24 26 male
34 27 Female
49 25 male
28 50 Female
25 26 male
10 38 Female
10 10 male
50 30 male
;
proc corr;
var studentattitudesscale energyconservationscale gender;
proc reg;
model energyconservationscale = studentattitudescale gender/ stb scorr2 p r vif;
plot residual.*predicted.;
output out=res residual=resid;
predicted = preg;
proc univariate plot;
var resid;
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04-30-2016
01:02 PM
So how would I change the code from the class statement to obtain the parameter variables instead? Josie
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04-30-2016
12:59 PM
Thank you for your help Steve, I appreciate it. Josie
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04-26-2016
07:49 PM
Thank you for the $ gender reminder. Silly me . The output looks good however, it still does not contain the.parameter estimates which I really need. Josie
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04-26-2016
07:34 PM
NOTE: Updated analytical products: SAS/STAT 13.2 SAS/ETS 13.2 SAS/OR 13.2 SAS/IML 13.2 SAS/QC 13.2 NOTE: Additional host information: X64_ES08R2 WIN 6.1.7601 Service Pack 1 Server NOTE: SAS initialization used: real time 16.21 seconds cpu time 2.21 seconds ERROR: Permanent copy of file SASUSER.PROFBAK.CATALOG was deleted. 1 data PEC; 2 input energyconservationscale studentattitudesscale gender; 3 datalines; NOTE: Invalid data for gender in line 4 8-11. RULE: ----+----1----+----2----+----3----+----4----+----5----+----6----+----7----+----8----+-- 4 50 30 male energyconservationscale=50 studentattitudesscale=30 gender=. _ERROR_=1 _N_=1 NOTE: Invalid data for gender in line 5 8-13. 5 50 46 Female energyconservationscale=50 studentattitudesscale=46 gender=. _ERROR_=1 _N_=2 NOTE: Invalid data for gender in line 6 7-10. 6 30 45 male energyconservationscale=30 studentattitudesscale=45 gender=. _ERROR_=1 _N_=3 NOTE: Invalid data for gender in line 7 8-13. 7 38 36 Female energyconservationscale=38 studentattitudesscale=36 gender=. _ERROR_=1 _N_=4 NOTE: Invalid data for gender in line 8 8-11. 8 41 30 male energyconservationscale=41 studentattitudesscale=30 gender=. _ERROR_=1 _N_=5 NOTE: Invalid data for gender in line 9 8-13. 9 15 15 Female energyconservationscale=15 studentattitudesscale=15 gender=. _ERROR_=1 _N_=6 NOTE: Invalid data for gender in line 10 8-11. 10 20 38 male energyconservationscale=20 studentattitudesscale=38 gender=. _ERROR_=1 _N_=7 NOTE: Invalid data for gender in line 11 7-12. 11 15 50 Female energyconservationscale=15 studentattitudesscale=50 gender=. _ERROR_=1 _N_=8 NOTE: Invalid data for gender in line 12 7-10. 12 45 37 male energyconservationscale=45 studentattitudesscale=37 gender=. _ERROR_=1 _N_=9 NOTE: Invalid data for gender in line 13 8-13. 13 25 37 Female energyconservationscale=25 studentattitudesscale=37 gender=. _ERROR_=1 _N_=10 NOTE: Invalid data for gender in line 14 8-11. 14 45 47 male energyconservationscale=45 studentattitudesscale=47 gender=. _ERROR_=1 _N_=11 NOTE: Invalid data for gender in line 15 8-13. 15 50 29 Female energyconservationscale=50 studentattitudesscale=29 gender=. _ERROR_=1 _N_=12 NOTE: Invalid data for gender in line 16 8-11. 16 22 36 male energyconservationscale=22 studentattitudesscale=36 gender=. _ERROR_=1 _N_=13 NOTE: Invalid data for gender in line 17 8-13. 17 48 36 Female energyconservationscale=48 studentattitudesscale=36 gender=. _ERROR_=1 _N_=14 NOTE: Invalid data for gender in line 18 7-10. 18 40 37 male energyconservationscale=40 studentattitudesscale=37 gender=. _ERROR_=1 _N_=15 NOTE: Invalid data for gender in line 19 8-13. 19 30 14 Female energyconservationscale=30 studentattitudesscale=14 gender=. _ERROR_=1 _N_=16 NOTE: Invalid data for gender in line 20 8-11. 20 38 48 male energyconservationscale=38 studentattitudesscale=48 gender=. _ERROR_=1 _N_=17 NOTE: Invalid data for gender in line 21 8-13. 21 12 38 Female energyconservationscale=12 studentattitudesscale=38 gender=. _ERROR_=1 _N_=18 NOTE: Invalid data for gender in line 22 7-10. 22 12 18 male energyconservationscale=12 studentattitudesscale=18 gender=. _ERROR_=1 _N_=19 NOTE: Invalid data for gender in line 23 8-13. WARNING: Limit set by ERRORS= option reached. Further errors of this type will not be printed. 23 15 25 Female energyconservationscale=15 studentattitudesscale=25 gender=. _ERROR_=1 _N_=20 NOTE: The data set WORK.PEC has 30 observations and 3 variables. NOTE: DATA statement used (Total process time): real time 0.05 seconds cpu time 0.04 seconds 34 ; 35 36 proc glm data=PEC; 37 class studentattitudescale gender; ERROR: Variable STUDENTATTITUDESCALE not found. NOTE: The previous statement has been deleted. 38 model energyconservationscale studentattitudesscale gender; - 73 ERROR 73-322: Expecting an =. 39 output out=PECres residual=resid predicted=pred; NOTE: The previous statement has been deleted. 40 run; ERROR: A MODEL statement must be given. 41 NOTE: The data set WORK.PECRES has 0 observations and 0 variables. NOTE: PROCEDURE GLM used (Total process time): real time 0.02 seconds cpu time 0.01 seconds 42 proc univariate data=PECres normal; NOTE: Writing HTML Body file: sashtml.htm 43 var resid; ERROR: Variable RESID not found. 44 run; NOTE: The SAS System stopped processing this step because of errors. NOTE: PROCEDURE UNIVARIATE used (Total process time): real time 0.77 seconds cpu time 0.45 seconds 45 data PEC; 46 input energyconservationscale studentattitudesscale gender; 47 datalines; NOTE: Invalid data for gender in line 48 8-11. RULE: ----+----1----+----2----+----3----+----4----+----5----+----6----+----7----+----8----+-- 48 50 30 male energyconservationscale=50 studentattitudesscale=30 gender=. _ERROR_=1 _N_=1 NOTE: Invalid data for gender in line 49 8-13. 49 50 46 Female energyconservationscale=50 studentattitudesscale=46 gender=. _ERROR_=1 _N_=2 NOTE: Invalid data for gender in line 50 7-10. 50 30 45 male energyconservationscale=30 studentattitudesscale=45 gender=. _ERROR_=1 _N_=3 NOTE: Invalid data for gender in line 51 8-13. 51 38 36 Female energyconservationscale=38 studentattitudesscale=36 gender=. _ERROR_=1 _N_=4 NOTE: Invalid data for gender in line 52 8-11. 52 41 30 male energyconservationscale=41 studentattitudesscale=30 gender=. _ERROR_=1 _N_=5 NOTE: Invalid data for gender in line 53 8-13. 53 15 15 Female energyconservationscale=15 studentattitudesscale=15 gender=. _ERROR_=1 _N_=6 NOTE: Invalid data for gender in line 54 8-11. 54 20 38 male energyconservationscale=20 studentattitudesscale=38 gender=. _ERROR_=1 _N_=7 NOTE: Invalid data for gender in line 55 7-12. 55 15 50 Female energyconservationscale=15 studentattitudesscale=50 gender=. _ERROR_=1 _N_=8 NOTE: Invalid data for gender in line 56 7-10. 56 45 37 male energyconservationscale=45 studentattitudesscale=37 gender=. _ERROR_=1 _N_=9 NOTE: Invalid data for gender in line 57 8-13. 57 25 37 Female energyconservationscale=25 studentattitudesscale=37 gender=. _ERROR_=1 _N_=10 NOTE: Invalid data for gender in line 58 8-11. 58 45 47 male energyconservationscale=45 studentattitudesscale=47 gender=. _ERROR_=1 _N_=11 NOTE: Invalid data for gender in line 59 8-13. 59 50 29 Female energyconservationscale=50 studentattitudesscale=29 gender=. _ERROR_=1 _N_=12 NOTE: Invalid data for gender in line 60 8-11. 60 22 36 male energyconservationscale=22 studentattitudesscale=36 gender=. _ERROR_=1 _N_=13 NOTE: Invalid data for gender in line 61 8-13. 61 48 36 Female energyconservationscale=48 studentattitudesscale=36 gender=. _ERROR_=1 _N_=14 NOTE: Invalid data for gender in line 62 7-10. 62 40 37 male energyconservationscale=40 studentattitudesscale=37 gender=. _ERROR_=1 _N_=15 NOTE: Invalid data for gender in line 63 8-13. 63 30 14 Female energyconservationscale=30 studentattitudesscale=14 gender=. _ERROR_=1 _N_=16 NOTE: Invalid data for gender in line 64 8-11. 64 38 48 male energyconservationscale=38 studentattitudesscale=48 gender=. _ERROR_=1 _N_=17 NOTE: Invalid data for gender in line 65 8-13. 65 12 38 Female energyconservationscale=12 studentattitudesscale=38 gender=. _ERROR_=1 _N_=18 NOTE: Invalid data for gender in line 66 7-10. 66 12 18 male energyconservationscale=12 studentattitudesscale=18 gender=. _ERROR_=1 _N_=19 NOTE: Invalid data for gender in line 67 8-13. WARNING: Limit set by ERRORS= option reached. Further errors of this type will not be printed. 67 15 25 Female energyconservationscale=15 studentattitudesscale=25 gender=. _ERROR_=1 _N_=20 NOTE: The data set WORK.PEC has 30 observations and 3 variables. NOTE: DATA statement used (Total process time): real time 0.05 seconds cpu time 0.06 seconds 78 ; 79 80 proc glm data=PEC; 81 class studentattitudescale gender; ERROR: Variable STUDENTATTITUDESCALE not found. NOTE: The previous statement has been deleted. 82 model energyconservationscale studentattitudesscale gender; - 73 ERROR 73-322: Expecting an =. 83 output out=PECres residual=resid predicted=pred; NOTE: The previous statement has been deleted. 84 run; ERROR: A MODEL statement must be given. 85 NOTE: The data set WORK.PECRES has 0 observations and 0 variables. WARNING: Data set WORK.PECRES was not replaced because new file is incomplete. NOTE: PROCEDURE GLM used (Total process time): real time 0.01 seconds cpu time 0.01 seconds 86 proc univariate data=PECres normal; 87 var resid; ERROR: Variable RESID not found. 88 run; NOTE: The SAS System stopped processing this step because of errors. NOTE: PROCEDURE UNIVARIATE used (Total process time): real time 0.00 seconds cpu time 0.01 seconds 89 data PEC; 90 input energyconservationscale studentattitudesscale gender; 91 datalines; NOTE: Invalid data for gender in line 92 8-11. RULE: ----+----1----+----2----+----3----+----4----+----5----+----6----+----7----+----8----+-- 92 50 30 male energyconservationscale=50 studentattitudesscale=30 gender=. _ERROR_=1 _N_=1 NOTE: Invalid data for gender in line 93 8-13. 93 50 46 Female energyconservationscale=50 studentattitudesscale=46 gender=. _ERROR_=1 _N_=2 NOTE: Invalid data for gender in line 94 7-10. 94 30 45 male energyconservationscale=30 studentattitudesscale=45 gender=. _ERROR_=1 _N_=3 NOTE: Invalid data for gender in line 95 8-13. 95 38 36 Female energyconservationscale=38 studentattitudesscale=36 gender=. _ERROR_=1 _N_=4 NOTE: Invalid data for gender in line 96 8-11. 96 41 30 male energyconservationscale=41 studentattitudesscale=30 gender=. _ERROR_=1 _N_=5 NOTE: Invalid data for gender in line 97 8-13. 97 15 15 Female energyconservationscale=15 studentattitudesscale=15 gender=. _ERROR_=1 _N_=6 NOTE: Invalid data for gender in line 98 8-11. 98 20 38 male energyconservationscale=20 studentattitudesscale=38 gender=. _ERROR_=1 _N_=7 NOTE: Invalid data for gender in line 99 7-12. 99 15 50 Female energyconservationscale=15 studentattitudesscale=50 gender=. _ERROR_=1 _N_=8 NOTE: Invalid data for gender in line 100 7-10. 100 45 37 male energyconservationscale=45 studentattitudesscale=37 gender=. _ERROR_=1 _N_=9 NOTE: Invalid data for gender in line 101 8-13. 101 25 37 Female energyconservationscale=25 studentattitudesscale=37 gender=. _ERROR_=1 _N_=10 NOTE: Invalid data for gender in line 102 8-11. 102 45 47 male energyconservationscale=45 studentattitudesscale=47 gender=. _ERROR_=1 _N_=11 NOTE: Invalid data for gender in line 103 8-13. 103 50 29 Female energyconservationscale=50 studentattitudesscale=29 gender=. _ERROR_=1 _N_=12 NOTE: Invalid data for gender in line 104 8-11. 104 22 36 male energyconservationscale=22 studentattitudesscale=36 gender=. _ERROR_=1 _N_=13 NOTE: Invalid data for gender in line 105 8-13. 105 48 36 Female energyconservationscale=48 studentattitudesscale=36 gender=. _ERROR_=1 _N_=14 NOTE: Invalid data for gender in line 106 7-10. 106 40 37 male energyconservationscale=40 studentattitudesscale=37 gender=. _ERROR_=1 _N_=15 NOTE: Invalid data for gender in line 107 8-13. 107 30 14 Female energyconservationscale=30 studentattitudesscale=14 gender=. _ERROR_=1 _N_=16 NOTE: Invalid data for gender in line 108 8-11. 108 38 48 male energyconservationscale=38 studentattitudesscale=48 gender=. _ERROR_=1 _N_=17 NOTE: Invalid data for gender in line 109 8-13. 109 12 38 Female energyconservationscale=12 studentattitudesscale=38 gender=. _ERROR_=1 _N_=18 NOTE: Invalid data for gender in line 110 7-10. 110 12 18 male energyconservationscale=12 studentattitudesscale=18 gender=. _ERROR_=1 _N_=19 NOTE: Invalid data for gender in line 111 8-13. WARNING: Limit set by ERRORS= option reached. Further errors of this type will not be printed. 111 15 25 Female energyconservationscale=15 studentattitudesscale=25 gender=. _ERROR_=1 _N_=20 NOTE: The data set WORK.PEC has 30 observations and 3 variables. NOTE: DATA statement used (Total process time): real time 0.05 seconds cpu time 0.04 seconds 122 ; 123 124 proc glm data=PEC; 125 class gender; 126 model energyconservationscale = studentattitudesscale gender studentattitudesscale*gender; 127 output out=PECres residual=resid predicted=pred; 128 run; ERROR: One or more variables are missing or freq or weight is zero on every observation.
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04-26-2016
07:22 PM
The SAS codes did not work at all. Lots of errors in output.
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04-26-2016
07:01 PM
Hi Stat Sas, I tried your code but it is still not happy. Josie
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04-26-2016
06:24 PM
In a previous question, I requested some advise for obtaining the correct SAS codes for regression analysis and interaction, however it was not correct because the output did not include any parameter estimates. To bring further clarity to the question above, How do I use SAS to conduct the regression analysis for the following question: “Predict Energy Conservation Scores (ECS) using Consumer Attitude, Gender, and their interaction. data PEC; input energyconservationscale studentattitudesscale gender; datalines; 50 30 male 50 46 Female 30 45 male 38 36 Female 41 30 male 15 15 Female 20 38 male 15 50 Female 45 37 male 25 37 Female 45 47 male 50 29 Female 22 36 male 48 36 Female 40 37 male 30 14 Female 38 48 male 12 38 Female 12 18 male 15 25 Female 10 36 male 45 29 Female 24 26 male 34 27 Female 49 25 male 28 50 Female 25 26 male 10 38 Female 10 10 male 50 30 male ; proc glm data=PEC; class studentattitudescale gender; model energyconservationscale studentattitudesscale gender; output out=PECres residual=resid predicted=pred; run; proc univariate data=PECres normal; var resid; run;
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04-20-2016
07:13 PM
Title Predictin final exam score from stats anxiety scores, study minutes, and midterm exam scores; data Predicting final exam scores; input finalexamscore statsstressacore studyminutes midtermexamscore; cards; 40 48 41 45 49 49 55 40 71 73 69 69 42 42 52 51 54 49 46 52 45 49 45 41 63 52 66 69 55 58 54 47 46 47 46 39 39 42 35 38 62 63 66 45 52 50 50 55 62 71 65 59 47 41 41 40 53 47 50 52 54 50 41 50 49 53 47 44 53 49 52 49 52 51 61 38 55 69 60 50 ; proc corr; var finalexamscore = statsstressacore studyminutes midtermexamscore; proc reg; model finalexamscore = statsstressacore studyminutes midtermexamscore /stb scorr2 p r vif; plot residual. * predicted.; output out=res residual=resid predicted=pred; proc univariate plot; var resid; run;
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04-19-2016
08:52 PM
I agree that I accepted it as a solution, but I am wrestling with another question which is how to determine the effect size of the variable "astatistics anxiety score.
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04-19-2016
08:21 PM
input finalexamscore statsstressacore studyminutes midtermexamscore; cards; 40 48 41 45 49 49 55 40 71 73 69 69 42 42 52 51 54 49 46 52 45 49 45 41 63 52 66 69 55 58 54 47 46 47 46 39 39 42 35 38 62 63 66 45 52 50 50 55 62 71 65 59 47 41 41 40 53 47 50 52 54 50 41 50 49 53 47 44 53 49 52 49 52 51 61 38 55 69 60 50 ; proc corr; var finalexamscore = statsstressacore studyminutes midtermexamscore; proc reg; model finalexamscore = statsstressacore studyminutes midtermexamscore /stb scorr2 p r vif; plot residual. * predicted.; output out=res residual=resid predicted=pred; proc univariate plot; var resid; run;
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04-17-2016
09:29 PM
Thank you very much for your help PG Stats. It worked!! Josie
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04-17-2016
03:20 PM
senario: The researcher was interested in determining if the energy conservation practices of college students could be predicted from their participation in a training program, consumer attitudes, and gender. The following data were collected from a random sample of 30 students: Title Predicting energy conservation practices from training programs, consumer attitudes, and gender; data Predicting energy conservation; input energyconservationscale trainingprograms studentattitudesscale gender; cards; 50 No 30 male 50 Yes 46 Female 30 No 45 male 38 Yes 36 Female 41 No 30 male 15 Yes 15 Female 20 No 38 male 15 Yes 50 Female 45 No 37 male 25 Yes 37 Female 45 No 47 male 50 Yes 29 Female 22 No 36 male 48 Yes 36 Female 40 No 37 male 30 Yes 14 Female 38 No 48 male 12 Yes 38 Female 12 No 18 male 15 Yes 25 Female 10 No 36 male 45 Yes 29 Female 24 No 26 male 34 Yes 27 Female 49 No 25 male 28 Yes 50 Female 25 No 26 male 10 Yes 38 Female 10 No 10 male 50 Yes 30 male ; proc corr; var energyconservationscale = trainingprograms studentattitudesscale gender; proc reg; model energyconservationscale= trainingprograms studentattitudesscale gender /stb scorr2 p r vif; plot residual. * predicted.; output out=res residual=resid predicted=pred; proc univariate plot; var resid; run; Errors shown in log NOTE: The SAS System stopped processing this step because of errors. NOTE: PROCEDURE UNIVARIATE used (Total process time): real time 0.00 seconds cpu time 0.00 seconds 46 Title Predicting energy conservation practices from training programs, consumer attitudes, 46 ! and gender; 47 data Predicting energy conservation; 48 input energyconservation trainingprograms studentattitudes gender; 49 cards; NOTE: Invalid data for trainingprograms in line 51 5-6. NOTE: Invalid data for gender in line 51 13-16. RULE: ----+----1----+----2----+----3----+----4----+----5----+----6----+----7----+----8----+-- 51 50 No 30 male energyconservation=50 trainingprograms=. studentattitudes=30 gender=. _ERROR_=1 _N_=1 NOTE: Invalid data for trainingprograms in line 52 5-7. NOTE: Invalid data for gender in line 52 13-18. 52 50 Yes 46 Female energyconservation=50 trainingprograms=. studentattitudes=46 gender=. _ERROR_=1 _N_=2 NOTE: Invalid data for trainingprograms in line 53 5-6. NOTE: Invalid data for gender in line 53 13-16. 53 30 No 45 male energyconservation=30 trainingprograms=. studentattitudes=45 gender=. _ERROR_=1 _N_=3 NOTE: Invalid data for trainingprograms in line 54 5-7. NOTE: Invalid data for gender in line 54 13-18. RULE: ----+----1----+----2----+----3----+----4----+----5----+----6----+----7----+----8----+-- 54 38 Yes 36 Female energyconservation=38 trainingprograms=. studentattitudes=36 gender=. _ERROR_=1 _N_=4 NOTE: Invalid data for trainingprograms in line 55 5-6. NOTE: Invalid data for gender in line 55 13-16. 55 41 No 30 male energyconservation=41 trainingprograms=. studentattitudes=30 gender=. _ERROR_=1 _N_=5 NOTE: Invalid data for trainingprograms in line 56 5-7. NOTE: Invalid data for gender in line 56 13-18. 56 15 Yes 15 Female energyconservation=15 trainingprograms=. studentattitudes=15 gender=. _ERROR_=1 _N_=6 NOTE: Invalid data for trainingprograms in line 57 5-6. NOTE: Invalid data for gender in line 57 13-16. 57 20 No 38 male energyconservation=20 trainingprograms=. studentattitudes=38 gender=. _ERROR_=1 _N_=7 NOTE: Invalid data for trainingprograms in line 58 5-7. NOTE: Invalid data for gender in line 58 13-18. 58 15 Yes 50 Female energyconservation=15 trainingprograms=. studentattitudes=50 gender=. _ERROR_=1 _N_=8 NOTE: Invalid data for trainingprograms in line 59 5-6. NOTE: Invalid data for gender in line 59 13-16. 59 45 No 37 male energyconservation=45 trainingprograms=. studentattitudes=37 gender=. _ERROR_=1 _N_=9 NOTE: Invalid data for trainingprograms in line 60 5-7. NOTE: Invalid data for gender in line 60 13-18. 60 25 Yes 37 Female energyconservation=25 trainingprograms=. studentattitudes=37 gender=. _ERROR_=1 _N_=10 NOTE: Invalid data for trainingprograms in line 61 5-6. NOTE: Invalid data for gender in line 61 13-16. 61 45 No 47 male energyconservation=45 trainingprograms=. studentattitudes=47 gender=. _ERROR_=1 _N_=11 NOTE: Invalid data for trainingprograms in line 62 5-7. NOTE: Invalid data for gender in line 62 13-18. 62 50 Yes 29 Female energyconservation=50 trainingprograms=. studentattitudes=29 gender=. _ERROR_=1 _N_=12 NOTE: Invalid data for trainingprograms in line 63 5-6. NOTE: Invalid data for gender in line 63 13-16. 63 22 No 36 male energyconservation=22 trainingprograms=. studentattitudes=36 gender=. _ERROR_=1 _N_=13 NOTE: Invalid data for trainingprograms in line 64 5-7. NOTE: Invalid data for gender in line 64 13-18. 64 48 Yes 36 Female energyconservation=48 trainingprograms=. studentattitudes=36 gender=. _ERROR_=1 _N_=14 NOTE: Invalid data for trainingprograms in line 65 5-6. NOTE: Invalid data for gender in line 65 13-16. 65 40 No 37 male energyconservation=40 trainingprograms=. studentattitudes=37 gender=. _ERROR_=1 _N_=15 NOTE: Invalid data for trainingprograms in line 66 5-7. NOTE: Invalid data for gender in line 66 13-18. 66 30 Yes 14 Female energyconservation=30 trainingprograms=. studentattitudes=14 gender=. _ERROR_=1 _N_=16 NOTE: Invalid data for trainingprograms in line 67 5-6. NOTE: Invalid data for gender in line 67 13-16. 67 38 No 48 male energyconservation=38 trainingprograms=. studentattitudes=48 gender=. _ERROR_=1 _N_=17 NOTE: Invalid data for trainingprograms in line 68 5-7. NOTE: Invalid data for gender in line 68 13-18. 68 12 Yes 38 Female energyconservation=12 trainingprograms=. studentattitudes=38 gender=. _ERROR_=1 _N_=18 NOTE: Invalid data for trainingprograms in line 69 5-6. NOTE: Invalid data for gender in line 69 13-16. 69 12 No 18 male energyconservation=12 trainingprograms=. studentattitudes=18 gender=. _ERROR_=1 _N_=19 NOTE: Invalid data for trainingprograms in line 70 5-7. NOTE: Invalid data for gender in line 70 13-18. WARNING: Limit set by ERRORS= option reached. Further errors of this type will not be printed. 70 15 Yes 25 Female energyconservation=15 trainingprograms=. studentattitudes=25 gender=. _ERROR_=1 _N_=20 NOTE: SAS went to a new line when INPUT statement reached past the end of a line. NOTE: The data set WORK.PREDICTING has 30 observations and 4 variables. NOTE: The data set WORK.ENERGY has 30 observations and 4 variables. NOTE: The data set WORK.CONSERVATION has 30 observations and 4 variables. NOTE: DATA statement used (Total process time): real time 0.09 seconds cpu time 0.07 seconds 81 ; 82 proc corr; 83 var energyconserving = trainingprograms studentattitudes gender; - 22 200 ERROR: Variable ENERGYCONSERVING not found. ERROR 22-322: Syntax error, expecting one of the following: a name, ;, -, :, _ALL_, _CHARACTER_, _CHAR_, _NUMERIC_. ERROR 200-322: The symbol is not recognized and will be ignored. NOTE: The SAS System stopped processing this step because of errors. NOTE: PROCEDURE CORR used (Total process time): real time 0.00 seconds cpu time 0.00 seconds 84 proc reg; 85 model energyconserving trainingprograms studentattitudes gender /stb scorr2 p r vif; - 73 ERROR: Variable ENERGYCONSERVING not found. NOTE: The previous statement has been deleted. ERROR 73-322: Expecting an =. 86 plot residual. * predicted.; 87 output out=res residual=resid predicted=pred; WARNING: No variables specified for an SSCP matrix. Execution terminating. NOTE: The data set WORK.RES has 0 observations and 0 variables. WARNING: Data set WORK.RES was not replaced because new file is incomplete. NOTE: PROCEDURE REG used (Total process time): real time 0.04 seconds cpu time 0.03 seconds 88 proc univariate plot; 89 var resid; ERROR: Variable RESID not found. 90 run; NOTE: The SAS System stopped processing this step because of errors. NOTE: PROCEDURE UNIVARIATE used (Total process time): real time 0.00 seconds cpu time 0.00 seconds 91 Title Predicting energy conservation practices from training programs, consumer attitudes, 91 ! and gender; 92 data Predicting energy conservation; 93 input energyconservation trainingprograms studentattitudes gender; 94 cards; NOTE: Invalid data for trainingprograms in line 96 5-6. NOTE: Invalid data for gender in line 96 13-16. RULE: ----+----1----+----2----+----3----+----4----+----5----+----6----+----7----+----8----+-- 96 50 No 30 male energyconservation=50 trainingprograms=. studentattitudes=30 gender=. _ERROR_=1 _N_=1 NOTE: Invalid data for trainingprograms in line 97 5-7. NOTE: Invalid data for gender in line 97 13-18. 97 50 Yes 46 Female energyconservation=50 trainingprograms=. studentattitudes=46 gender=. _ERROR_=1 _N_=2 NOTE: Invalid data for trainingprograms in line 98 5-6. NOTE: Invalid data for gender in line 98 13-16. 98 30 No 45 male energyconservation=30 trainingprograms=. studentattitudes=45 gender=. _ERROR_=1 _N_=3 NOTE: Invalid data for trainingprograms in line 99 5-7. NOTE: Invalid data for gender in line 99 13-18. 99 38 Yes 36 Female energyconservation=38 trainingprograms=. studentattitudes=36 gender=. _ERROR_=1 _N_=4 NOTE: Invalid data for trainingprograms in line 100 5-6. NOTE: Invalid data for gender in line 100 13-16. 100 41 No 30 male energyconservation=41 trainingprograms=. studentattitudes=30 gender=. _ERROR_=1 _N_=5 NOTE: Invalid data for trainingprograms in line 101 5-7. NOTE: Invalid data for gender in line 101 13-18. 101 15 Yes 15 Female energyconservation=15 trainingprograms=. studentattitudes=15 gender=. _ERROR_=1 _N_=6 NOTE: Invalid data for trainingprograms in line 102 5-6. NOTE: Invalid data for gender in line 102 13-16. 102 20 No 38 male energyconservation=20 trainingprograms=. studentattitudes=38 gender=. _ERROR_=1 _N_=7 NOTE: Invalid data for trainingprograms in line 103 5-7. NOTE: Invalid data for gender in line 103 13-18. 103 15 Yes 50 Female energyconservation=15 trainingprograms=. studentattitudes=50 gender=. _ERROR_=1 _N_=8 NOTE: Invalid data for trainingprograms in line 104 5-6. NOTE: Invalid data for gender in line 104 13-16. 104 45 No 37 male energyconservation=45 trainingprograms=. studentattitudes=37 gender=. _ERROR_=1 _N_=9 NOTE: Invalid data for trainingprograms in line 105 5-7. NOTE: Invalid data for gender in line 105 13-18. 105 25 Yes 37 Female energyconservation=25 trainingprograms=. studentattitudes=37 gender=. _ERROR_=1 _N_=10 NOTE: Invalid data for trainingprograms in line 106 5-6. NOTE: Invalid data for gender in line 106 13-16. 106 45 No 47 male energyconservation=45 trainingprograms=. studentattitudes=47 gender=. _ERROR_=1 _N_=11 NOTE: Invalid data for trainingprograms in line 107 5-7. NOTE: Invalid data for gender in line 107 13-18. 107 50 Yes 29 Female energyconservation=50 trainingprograms=. studentattitudes=29 gender=. _ERROR_=1 _N_=12 NOTE: Invalid data for trainingprograms in line 108 5-6. NOTE: Invalid data for gender in line 108 13-16. 108 22 No 36 male energyconservation=22 trainingprograms=. studentattitudes=36 gender=. _ERROR_=1 _N_=13 NOTE: Invalid data for trainingprograms in line 109 5-7. NOTE: Invalid data for gender in line 109 13-18. 109 48 Yes 36 Female energyconservation=48 trainingprograms=. studentattitudes=36 gender=. _ERROR_=1 _N_=14 NOTE: Invalid data for trainingprograms in line 110 5-6. NOTE: Invalid data for gender in line 110 13-16. 110 40 No 37 male energyconservation=40 trainingprograms=. studentattitudes=37 gender=. _ERROR_=1 _N_=15 NOTE: Invalid data for trainingprograms in line 111 5-7. NOTE: Invalid data for gender in line 111 13-18. 111 30 Yes 14 Female energyconservation=30 trainingprograms=. studentattitudes=14 gender=. _ERROR_=1 _N_=16 NOTE: Invalid data for trainingprograms in line 112 5-6. NOTE: Invalid data for gender in line 112 13-16. 112 38 No 48 male energyconservation=38 trainingprograms=. studentattitudes=48 gender=. _ERROR_=1 _N_=17 NOTE: Invalid data for trainingprograms in line 113 5-7. NOTE: Invalid data for gender in line 113 13-18. 113 12 Yes 38 Female energyconservation=12 trainingprograms=. studentattitudes=38 gender=. _ERROR_=1 _N_=18 NOTE: Invalid data for trainingprograms in line 114 5-6. NOTE: Invalid data for gender in line 114 13-16. 114 12 No 18 male energyconservation=12 trainingprograms=. studentattitudes=18 gender=. _ERROR_=1 _N_=19 NOTE: Invalid data for trainingprograms in line 115 5-7. NOTE: Invalid data for gender in line 115 13-18. WARNING: Limit set by ERRORS= option reached. Further errors of this type will not be printed. 115 15 Yes 25 Female energyconservation=15 trainingprograms=. studentattitudes=25 gender=. _ERROR_=1 _N_=20 NOTE: SAS went to a new line when INPUT statement reached past the end of a line. NOTE: The data set WORK.PREDICTING has 30 observations and 4 variables. NOTE: The data set WORK.ENERGY has 30 observations and 4 variables. NOTE: The data set WORK.CONSERVATION has 30 observations and 4 variables. NOTE: DATA statement used (Total process time): real time 0.08 seconds cpu time 0.07 seconds 126 ; 127 proc corr; 128 var energyconservation = trainingprograms studentattitudes gender; - 22 200 ERROR 22-322: Syntax error, expecting one of the following: a name, ;, -, :, _ALL_, _CHARACTER_, _CHAR_, _NUMERIC_. ERROR 200-322: The symbol is not recognized and will be ignored. NOTE: The SAS System stopped processing this step because of errors. NOTE: PROCEDURE CORR used (Total process time): real time 0.00 seconds cpu time 0.01 seconds 129 proc reg; 130 model energyconservation trainingprograms studentattitudes gender /stb scorr2 p r vif; - 73 NOTE: The previous statement has been deleted. ERROR 73-322: Expecting an =. 131 plot residual. * predicted.; 132 output out=res residual=resid predicted=pred; WARNING: No variables specified for an SSCP matrix. Execution terminating. NOTE: The data set WORK.RES has 0 observations and 0 variables. WARNING: Data set WORK.RES was not replaced because new file is incomplete. NOTE: PROCEDURE REG used (Total process time): real time 0.03 seconds cpu time 0.03 seconds 133 proc univariate plot; 134 var resid; ERROR: Variable RESID not found. 135 run; NOTE: The SAS System stopped processing this step because of errors. NOTE: PROCEDURE UNIVARIATE used (Total process time): real time 0.00 seconds cpu time 0.00 seconds 136 Title Predicting energy conservation practices from training programs, consumer attitudes, 136! and gender; 137 data Predicting energy conservation; 138 input energyconservation trainingprograms studentattitudes gender; 139 cards; NOTE: Invalid data for trainingprograms in line 141 5-6. NOTE: Invalid data for gender in line 141 13-16. RULE: ----+----1----+----2----+----3----+----4----+----5----+----6----+----7----+----8----+-- 141 50 No 30 male energyconservation=50 trainingprograms=. studentattitudes=30 gender=. _ERROR_=1 _N_=1 NOTE: Invalid data for trainingprograms in line 142 5-7. NOTE: Invalid data for gender in line 142 13-18. 142 50 Yes 46 Female energyconservation=50 trainingprograms=. studentattitudes=46 gender=. _ERROR_=1 _N_=2 NOTE: Invalid data for trainingprograms in line 143 5-6. NOTE: Invalid data for gender in line 143 13-16. 143 30 No 45 male energyconservation=30 trainingprograms=. studentattitudes=45 gender=. _ERROR_=1 _N_=3 NOTE: Invalid data for trainingprograms in line 144 5-7. NOTE: Invalid data for gender in line 144 13-18. 144 38 Yes 36 Female energyconservation=38 trainingprograms=. studentattitudes=36 gender=. _ERROR_=1 _N_=4 NOTE: Invalid data for trainingprograms in line 145 5-6. NOTE: Invalid data for gender in line 145 13-16. 145 41 No 30 male energyconservation=41 trainingprograms=. studentattitudes=30 gender=. _ERROR_=1 _N_=5 NOTE: Invalid data for trainingprograms in line 146 5-7. NOTE: Invalid data for gender in line 146 13-18. 146 15 Yes 15 Female energyconservation=15 trainingprograms=. studentattitudes=15 gender=. _ERROR_=1 _N_=6 NOTE: Invalid data for trainingprograms in line 147 5-6. NOTE: Invalid data for gender in line 147 13-16. 147 20 No 38 male energyconservation=20 trainingprograms=. studentattitudes=38 gender=. _ERROR_=1 _N_=7 NOTE: Invalid data for trainingprograms in line 148 5-7. NOTE: Invalid data for gender in line 148 13-18. 148 15 Yes 50 Female energyconservation=15 trainingprograms=. studentattitudes=50 gender=. _ERROR_=1 _N_=8 NOTE: Invalid data for trainingprograms in line 149 5-6. NOTE: Invalid data for gender in line 149 13-16. 149 45 No 37 male energyconservation=45 trainingprograms=. studentattitudes=37 gender=. _ERROR_=1 _N_=9 NOTE: Invalid data for trainingprograms in line 150 5-7. NOTE: Invalid data for gender in line 150 13-18. 150 25 Yes 37 Female energyconservation=25 trainingprograms=. studentattitudes=37 gender=. _ERROR_=1 _N_=10 NOTE: Invalid data for trainingprograms in line 151 5-6. NOTE: Invalid data for gender in line 151 13-16. 151 45 No 47 male energyconservation=45 trainingprograms=. studentattitudes=47 gender=. _ERROR_=1 _N_=11 NOTE: Invalid data for trainingprograms in line 152 5-7. NOTE: Invalid data for gender in line 152 13-18. 152 50 Yes 29 Female energyconservation=50 trainingprograms=. studentattitudes=29 gender=. _ERROR_=1 _N_=12 NOTE: Invalid data for trainingprograms in line 153 5-6. NOTE: Invalid data for gender in line 153 13-16. 153 22 No 36 male energyconservation=22 trainingprograms=. studentattitudes=36 gender=. _ERROR_=1 _N_=13 NOTE: Invalid data for trainingprograms in line 154 5-7. NOTE: Invalid data for gender in line 154 13-18. 154 48 Yes 36 Female energyconservation=48 trainingprograms=. studentattitudes=36 gender=. _ERROR_=1 _N_=14 NOTE: Invalid data for trainingprograms in line 155 5-6. NOTE: Invalid data for gender in line 155 13-16. 155 40 No 37 male energyconservation=40 trainingprograms=. studentattitudes=37 gender=. _ERROR_=1 _N_=15 NOTE: Invalid data for trainingprograms in line 156 5-7. NOTE: Invalid data for gender in line 156 13-18. 156 30 Yes 14 Female energyconservation=30 trainingprograms=. studentattitudes=14 gender=. _ERROR_=1 _N_=16 NOTE: Invalid data for trainingprograms in line 157 5-6. NOTE: Invalid data for gender in line 157 13-16. 157 38 No 48 male energyconservation=38 trainingprograms=. studentattitudes=48 gender=. _ERROR_=1 _N_=17 NOTE: Invalid data for trainingprograms in line 158 5-7. NOTE: Invalid data for gender in line 158 13-18. 158 12 Yes 38 Female energyconservation=12 trainingprograms=. studentattitudes=38 gender=. _ERROR_=1 _N_=18 NOTE: Invalid data for trainingprograms in line 159 5-6. NOTE: Invalid data for gender in line 159 13-16. 159 12 No 18 male energyconservation=12 trainingprograms=. studentattitudes=18 gender=. _ERROR_=1 _N_=19 NOTE: Invalid data for trainingprograms in line 160 5-7. NOTE: Invalid data for gender in line 160 13-18. WARNING: Limit set by ERRORS= option reached. Further errors of this type will not be printed. 160 15 Yes 25 Female energyconservation=15 trainingprograms=. studentattitudes=25 gender=. _ERROR_=1 _N_=20 NOTE: SAS went to a new line when INPUT statement reached past the end of a line. NOTE: The data set WORK.PREDICTING has 30 observations and 4 variables. NOTE: The data set WORK.ENERGY has 30 observations and 4 variables. NOTE: The data set WORK.CONSERVATION has 30 observations and 4 variables. NOTE: DATA statement used (Total process time): real time 0.06 seconds cpu time 0.06 seconds 171 ; 172 proc corr; 173 var energyconservation = trainingprograms studentattitudes gender; - 22 200 ERROR 22-322: Syntax error, expecting one of the following: a name, ;, -, :, _ALL_, _CHARACTER_, _CHAR_, _NUMERIC_. ERROR 200-322: The symbol is not recognized and will be ignored. NOTE: The SAS System stopped processing this step because of errors. NOTE: PROCEDURE CORR used (Total process time): real time 0.00 seconds cpu time 0.01 seconds 174 proc reg; 175 model energyconservation= trainingprograms studentattitudes gender /stb scorr2 p r vif; 176 plot residual. * predicted.; 177 output out=res residual=resid predicted=pred; ERROR: No valid observations are found. NOTE: No plot is printed because there is no observation with positive weight. NOTE: The data set WORK.RES has 30 observations and 6 variables. NOTE: PROCEDURE REG used (Total process time): real time 0.59 seconds cpu time 0.04 seconds 178 proc univariate plot; 179 var resid; 180 run; NOTE: PROCEDURE UNIVARIATE used (Total process time): real time 0.02 seconds cpu time 0.01 seconds 181 Title Predicting energy conservation practices from training programs, consumer attitudes, 181! and gender; 182 data Predicting energy conservation; 183 input energyconservationscale trainingprograms studentattitudesscale gender; 184 cards; NOTE: Invalid data for trainingprograms in line 186 5-6. NOTE: Invalid data for gender in line 186 13-16. RULE: ----+----1----+----2----+----3----+----4----+----5----+----6----+----7----+----8----+-- 186 50 No 30 male energyconservationscale=50 trainingprograms=. studentattitudesscale=30 gender=. _ERROR_=1 _N_=1 NOTE: Invalid data for trainingprograms in line 187 5-7. NOTE: Invalid data for gender in line 187 13-18. 187 50 Yes 46 Female energyconservationscale=50 trainingprograms=. studentattitudesscale=46 gender=. _ERROR_=1 _N_=2 NOTE: Invalid data for trainingprograms in line 188 5-6. NOTE: Invalid data for gender in line 188 13-16. 188 30 No 45 male energyconservationscale=30 trainingprograms=. studentattitudesscale=45 gender=. _ERROR_=1 _N_=3 NOTE: Invalid data for trainingprograms in line 189 5-7. NOTE: Invalid data for gender in line 189 13-18. 189 38 Yes 36 Female energyconservationscale=38 trainingprograms=. studentattitudesscale=36 gender=. _ERROR_=1 _N_=4 NOTE: Invalid data for trainingprograms in line 190 5-6. NOTE: Invalid data for gender in line 190 13-16. 190 41 No 30 male energyconservationscale=41 trainingprograms=. studentattitudesscale=30 gender=. _ERROR_=1 _N_=5 NOTE: Invalid data for trainingprograms in line 191 5-7. NOTE: Invalid data for gender in line 191 13-18. 191 15 Yes 15 Female energyconservationscale=15 trainingprograms=. studentattitudesscale=15 gender=. _ERROR_=1 _N_=6 NOTE: Invalid data for trainingprograms in line 192 5-6. NOTE: Invalid data for gender in line 192 13-16. 192 20 No 38 male energyconservationscale=20 trainingprograms=. studentattitudesscale=38 gender=. _ERROR_=1 _N_=7 NOTE: Invalid data for trainingprograms in line 193 5-7. NOTE: Invalid data for gender in line 193 13-18. 193 15 Yes 50 Female energyconservationscale=15 trainingprograms=. studentattitudesscale=50 gender=. _ERROR_=1 _N_=8 NOTE: Invalid data for trainingprograms in line 194 5-6. NOTE: Invalid data for gender in line 194 13-16. 194 45 No 37 male energyconservationscale=45 trainingprograms=. studentattitudesscale=37 gender=. _ERROR_=1 _N_=9 NOTE: Invalid data for trainingprograms in line 195 5-7. NOTE: Invalid data for gender in line 195 13-18. 195 25 Yes 37 Female energyconservationscale=25 trainingprograms=. studentattitudesscale=37 gender=. _ERROR_=1 _N_=10 NOTE: Invalid data for trainingprograms in line 196 5-6. NOTE: Invalid data for gender in line 196 13-16. 196 45 No 47 male energyconservationscale=45 trainingprograms=. studentattitudesscale=47 gender=. _ERROR_=1 _N_=11 NOTE: Invalid data for trainingprograms in line 197 5-7. NOTE: Invalid data for gender in line 197 13-18. 197 50 Yes 29 Female energyconservationscale=50 trainingprograms=. studentattitudesscale=29 gender=. _ERROR_=1 _N_=12 NOTE: Invalid data for trainingprograms in line 198 5-6. NOTE: Invalid data for gender in line 198 13-16. 198 22 No 36 male energyconservationscale=22 trainingprograms=. studentattitudesscale=36 gender=. _ERROR_=1 _N_=13 NOTE: Invalid data for trainingprograms in line 199 5-7. NOTE: Invalid data for gender in line 199 13-18. 199 48 Yes 36 Female energyconservationscale=48 trainingprograms=. studentattitudesscale=36 gender=. _ERROR_=1 _N_=14 NOTE: Invalid data for trainingprograms in line 200 5-6. NOTE: Invalid data for gender in line 200 13-16. 200 40 No 37 male energyconservationscale=40 trainingprograms=. studentattitudesscale=37 gender=. _ERROR_=1 _N_=15 NOTE: Invalid data for trainingprograms in line 201 5-7. NOTE: Invalid data for gender in line 201 13-18. 201 30 Yes 14 Female energyconservationscale=30 trainingprograms=. studentattitudesscale=14 gender=. _ERROR_=1 _N_=16 NOTE: Invalid data for trainingprograms in line 202 5-6. NOTE: Invalid data for gender in line 202 13-16. 202 38 No 48 male energyconservationscale=38 trainingprograms=. studentattitudesscale=48 gender=. _ERROR_=1 _N_=17 NOTE: Invalid data for trainingprograms in line 203 5-7. NOTE: Invalid data for gender in line 203 13-18. 203 12 Yes 38 Female energyconservationscale=12 trainingprograms=. studentattitudesscale=38 gender=. _ERROR_=1 _N_=18 NOTE: Invalid data for trainingprograms in line 204 5-6. NOTE: Invalid data for gender in line 204 13-16. 204 12 No 18 male energyconservationscale=12 trainingprograms=. studentattitudesscale=18 gender=. _ERROR_=1 _N_=19 NOTE: Invalid data for trainingprograms in line 205 5-7. NOTE: Invalid data for gender in line 205 13-18. WARNING: Limit set by ERRORS= option reached. Further errors of this type will not be printed. 205 15 Yes 25 Female energyconservationscale=15 trainingprograms=. studentattitudesscale=25 gender=. _ERROR_=1 _N_=20 NOTE: SAS went to a new line when INPUT statement reached past the end of a line. NOTE: The data set WORK.PREDICTING has 30 observations and 4 variables. NOTE: The data set WORK.ENERGY has 30 observations and 4 variables. NOTE: The data set WORK.CONSERVATION has 30 observations and 4 variables. NOTE: DATA statement used (Total process time): real time 0.05 seconds cpu time 0.04 seconds 216 ; 217 proc corr; 218 var energyconservationscale = trainingprograms studentattitudesscale gender; - 22 200 ERROR 22-322: Syntax error, expecting one of the following: a name, ;, -, :, _ALL_, _CHARACTER_, _CHAR_, _NUMERIC_. ERROR 200-322: The symbol is not recognized and will be ignored. NOTE: The SAS System stopped processing this step because of errors. NOTE: PROCEDURE CORR used (Total process time): real time 0.00 seconds cpu time 0.00 seconds 219 proc reg; 220 model energyconservationscale= trainingprograms studentattitudesscale gender /stb scorr2 p r 220! vif; 221 plot residual. * predicted.; 222 output out=res residual=resid predicted=pred; ERROR: No valid observations are found. NOTE: No plot is printed because there is no observation with positive weight. NOTE: The data set WORK.RES has 30 observations and 6 variables. NOTE: PROCEDURE REG used (Total process time): real time 5.28 seconds cpu time 0.06 seconds 223 proc univariate plot; 224 var resid; 225 run; NOTE: PROCEDURE UNIVARIATE used (Total process time): real time 0.01 seconds cpu time 0.03 seconds
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04-17-2016
02:37 PM
Reeza, Thank you very much for your guidance. I completed all errors as you suggested and ran the code. The output provided what was requested thank you. I will download the output if you wish to look at it. Again thank you very much, Josie
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