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MaryA_Marion
Lapis Lazuli | Level 10

I need an equation for a forecast for a simple regression problem(SLR).  Please note I am not asking for a prediction value but a forecast. I could not find this in the ETS documentation. Thank you.

1 ACCEPTED SOLUTION

Accepted Solutions
sbxkoenk
SAS Super FREQ

Hello,


I have NOT downloaded your *.sas file.


But I want to correct something :
SAS/ETS is not suitable for a single | simple linear regression (SLR), you should do that with SAS/STAT (PROC REG for example).
Moreover, every forecast is a prediction, but not every prediction is a forecast. A forecast looks into the future (generally) and is a time series prediction. A "prediction" as a term is much broader and is any kind of prediction.


I am not sure what your question is for the rest.
Will that become clear when I open the programme?
Can you copy / paste the programme into a reply?
Click on the running man in the toolbar when writing your reply. You can then paste your SAS-code into the window that opens.

 

Thanks,

Koen

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6 REPLIES 6
sbxkoenk
SAS Super FREQ

Hello,


I have NOT downloaded your *.sas file.


But I want to correct something :
SAS/ETS is not suitable for a single | simple linear regression (SLR), you should do that with SAS/STAT (PROC REG for example).
Moreover, every forecast is a prediction, but not every prediction is a forecast. A forecast looks into the future (generally) and is a time series prediction. A "prediction" as a term is much broader and is any kind of prediction.


I am not sure what your question is for the rest.
Will that become clear when I open the programme?
Can you copy / paste the programme into a reply?
Click on the running man in the toolbar when writing your reply. You can then paste your SAS-code into the window that opens.

 

Thanks,

Koen

MaryA_Marion
Lapis Lazuli | Level 10
DATA sixtyEight;
input t y;
cards;
1 47
2 46
3 51
4 44
5 54
6 47
7 52
8 45
9 50
10 51
11 49
12 41
13 48
14 50
15 51
16 55
17 52
18 53
19 48
20 52
;
proc print; run;

proc reg;
model y=t / r p;
run;
PaigeMiller
Diamond | Level 26

So if your x-variable is a sequence number, then in some sense predicting when the sequence number goes beyond the range of the data could be considered a forecast.

 

In your case, if you got a predicted value for t=21, is that what you want? (I'll bet there are a lot of people trained in statistics who would not call that a forecast ... nevertheless ... is that what you want?)

 

If so, you don't really need the equation (although if you want it, that's fine), but this trick here allows you to get a predicted value for t=21.

https://blogs.sas.com/content/iml/2014/02/17/the-missing-value-trick-for-scoring-a-regression-model....

--
Paige Miller
MaryA_Marion
Lapis Lazuli | Level 10

I do want the predicted value for t=21.  I am working with the equation 

forecast for time t from time t-1 = yhat(t-1)

                                                  =y(t)-e_t(1) where

                               e_t(1) = step 1 ahead error

 

Thank you for your reply. MM

PaigeMiller
Diamond | Level 26

Now you give us an equation that is not linear regression. It involves time series data. So PROC REG is not appropriate, and just plain wrong.

 

You do want to use SAS/ETS to fit this model and obtain forecasts. And so I will step aside and allow someone who is more familiar with Time Series modeling to recommend a specific model here.

--
Paige Miller
sbxkoenk
SAS Super FREQ

Hello,

 

Is it this that you want?

data work.sixtyEight;
 set work.sixtyEight end=lastobs;
 output;
 if lastobs then do;
  t=21; y=.; output;
 end;
run;

proc autoreg data=sixtyEight;
model y=t / NLAG=(1) method=ML;
   output out=p p=yhat pm=ytrend
                lcl=lcl ucl=ucl;
run;
QUIT;

proc sgplot data=p;
   band x=t upper=ucl lower=lcl;
   scatter x=t y=y;
   series x=t y=yhat;
   series x=t y=ytrend / lineattrs=(color=black);
run;
/* end of program */

 

Koen

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