BookmarkSubscribeRSS Feed
anilgvdbm
Quartz | Level 8

Dear Friends,

I have a child nutrition data for 3 points of year and 6 regions. my dependent variable is underweight of children. this variable includes 4 categories like normal, moderate , mild and severe undernurished. so i have to run a regression against underweight with all independent variables. so please can you able to suggest which proc i need to use?

because i have to do regression for region wise or can i append all regions then run? please clarify on this i'm in a trouble your help is highly appreciated.

hanks and regards,

Anil

6 REPLIES 6
RamKumar
Fluorite | Level 6

Please provide your sample data.

anilgvdbm
Quartz | Level 8

Hi Ravi,

Here i didn't find the attachement option so i copied and paste here please convert this to excel.

thanks

Anil

under_weightHHIDHV003HV004HV005HV006HV007HV008HV009HV010HV011HV012HV013HV014HV015HV016HV017HV019HV020HV023HV024wealth index
410  8 1002111107121119211157107521181310103
310 15 100218110712111921115710772152310102
210 17 100220110712111921115310330173210103
210 76 10027911071212931118210220151210103
210 89 10029211071211931117610561181110105
210 91 100294110712129311185105311141310104
210105 1002108110712129311184104401131310105
210126 10021291107121119211156006601171110104
210126 10021291107121119211156006601171110104
210126 10021291107121119211156006601171110104
110 24 101227110712112921116510550191310104
210 25 1012281107121129211167206701111310103
210 37 10124011071211931117610661151210102
210 49 101252110712119311178108801251110104
210 51 101254110712119311175105501301110104
210 59 10126211071211931117410440191110103
210 87  101290110712129311181320131331231210104
210 87  101290110712129311181320131331231210104
210 87  101290110712129311181320131331231210104
210 87  101290110712129311181320131331231210104
410 19  102221107121119211154104401183110104
410 48  10251110712119311177207721281210103
310 49  10252110712119311177107721251110103
310 74  10277110712119311177107721261110101
410 93  10296110712129311188108821201310104
210126  1021291107121119211158108831141110104
410138  102141110712119311176106601201110105
410138  102141110712119311176106601201110105
410138  102141110712119311176106601201110105
410138  102141110712119311176106601201110105
410138  102141110712119311176106601201110105
210 56 1022591107121119211155105501261110101
310 67 1022701107121129211163103311171110102
210 87 102290110712129311186106601231210105
310143 1022146110712119311174104421161110105
310143 1022146110712119311174104421161110105
310143 1022146110712119311174104421161110105
310143 1022146110712119311174104421161110105
310143 1022146110712119311174104421161110105
310 28 102931110712112921116122012121121210104
410  3  10361107121119211155205501241410102
310125  1031281107121119211154102401131110105
410  6 103291107121119211157307721281110101
110 81 103484110712119311175105301291110104
310 81 103484110712119311175105301291110104
210116  104119110712111921115610662171210103
210141  10414411071212931118112011111141210105
210141  10414411071212931118112011111141210105
210141  10414411071212931118112011111141210105
210 18 104121110712112921116310330161210103
210 71 10417411071211931117510553121110102
210 78 104181110712119311174104411281110102
210 90 10419311071212931118610640171210105
210128 10411311107121119211154004401101210103
210137 1041140110712119311173103311191210104
310 27 1042301107121119211157207721271510103
210 33 1042361107121129211166206621301110103
410 34 10423711071211931117510532171110104
310 39 1042421107121129211165105301211310104
310 53 104256110712119311173103301281210104
310 66 1042691107121129211165105511261110102
310 80 10428311071212931118810681191310101
310 97 1042100110712129311184104411231210105
410105 1042108110712129311184104411141310104
410119 10421221107121129211165105501291310105
410122 1042125110712112921116310331141210105
410142 104214511071212931118510552131210104
410144 1042147110712119311177107701161110104
410147 1042150110712119311174004221161210103
410148 1042151110712119311176106601181210105
410148 1042151110712119311176106601181210105
210  2 10435110712111921115420240151310102
210  2 10435110712111921115420240151310102
210 52 10445511071211931117101010811231510104
410 52 10445511071211931117101010811231510104
410 52 10445511071211931117101010811231510104
210 55 1052581107121119211156106601281110101
110 79 105282110712119311176106511291110101
110 84 105287110712129311184104401101310103
110 94 105297110712129311183103311171210103
110126 10521291107121119211158108501171110104
110133 1052136110712112921116310320143310105
110138 1052141110712119311174104401221110105
110138 1052141110712119311174104401221110105
110138 1052141110712119311174104401221110105
110138 1052141110712119311174104401221110105
210  8 1062111107121119211155105501191310101
110 22 1062251107121119211155005511231110102
110 87 106490110712129311181420141421241210105
210  1 1073411071211192111511101090141110104
110  1 1073411071211192111511101090141110104
110  1 1073411071211192111511101090141110104
310  5 108281107121119211157107721171310101
210 47 10825011071212931118810880121310101
410 50 108253110712129311186106601241310101
210124 1082127110712119311175105521211110105
210137 1082140110712119311172102201201210104
210137 1082140110712119311172102201201210104
210137 1082140110712119311172102201201210104
Ksharp
Super User

Since it is a statistical problem. Post is at SAS Statistical Procedures

Steve will give some good advice .

As My opinion, I will use proc glm ,since there are some categorize variables.

Xia Keshan

Reeza
Super User

You can attach by clicking the very faint advanced editor in the right upper corner of your Reply post. 

I would suggest attaching the data. You also need to explain it a bit, you mention a single categorical variable but your data is clearly more than that.

How many data points do you have in total?

anilgvdbm
Quartz | Level 8

Hi Keshan,

Ad your opinion you told that i can use Proc GLM. suppose my dependent variable is 4 catergories and independent variables also many of them are class variables how to go about it.

in proc glm can we use class as a region? because there are 2-3 regions are there i have to do same analysis for all the regions.

Please give me some idea on this.

here i attached sample data for your reference

Regards,

Anil

Ksharp
Super User

Hi. I indeed am not a expert statistician . post it at

SAS Statistical Procedures

Steve , Rick , lvm ........ they are all specialist about it .

sas-innovate-2024.png

Join us for SAS Innovate April 16-19 at the Aria in Las Vegas. Bring the team and save big with our group pricing for a limited time only.

Pre-conference courses and tutorials are filling up fast and are always a sellout. Register today to reserve your seat.

 

Register now!

What is Bayesian Analysis?

Learn the difference between classical and Bayesian statistical approaches and see a few PROC examples to perform Bayesian analysis in this video.

Find more tutorials on the SAS Users YouTube channel.

Click image to register for webinarClick image to register for webinar

Classroom Training Available!

Select SAS Training centers are offering in-person courses. View upcoming courses for:

View all other training opportunities.

Discussion stats
  • 6 replies
  • 979 views
  • 0 likes
  • 4 in conversation