Regarding Proc reg

anilgvdbm — Fri, 12 Dec 2014 06:57:49 GMT

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

Re: Regarding Proc reg

RamKumar — Fri, 12 Dec 2014 08:00:15 GMT

Please provide your sample data.

Re: Regarding Proc reg

anilgvdbm — Fri, 12 Dec 2014 08:58:08 GMT

Hi Ravi,

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

thanks

Anil

under_weight	HHID	HV003	HV004	HV005	HV006	HV007	HV008	HV009	HV010	HV011	HV012	HV013	HV014	HV015	HV016	HV017	HV019	HV020	HV023	HV024	wealth index
4	10 8 100	2	11	1107121	11	92	1115	7	1	0	7	5	2	1	18	1	3	1	0	10	3
3	10 15 100	2	18	1107121	11	92	1115	7	1	0	7	7	2	1	5	2	3	1	0	10	2
2	10 17 100	2	20	1107121	11	92	1115	3	1	0	3	3	0	1	7	3	2	1	0	10	3
2	10 76 100	2	79	1107121	2	93	1118	2	1	0	2	2	0	1	5	1	2	1	0	10	3
2	10 89 100	2	92	1107121	1	93	1117	6	1	0	5	6	1	1	8	1	1	1	0	10	5
2	10 91 100	2	94	1107121	2	93	1118	5	1	0	5	3	1	1	14	1	3	1	0	10	4
2	10105 100	2	108	1107121	2	93	1118	4	1	0	4	4	0	1	13	1	3	1	0	10	5
2	10126 100	2	129	1107121	11	92	1115	6	0	0	6	6	0	1	17	1	1	1	0	10	4
2	10126 100	2	129	1107121	11	92	1115	6	0	0	6	6	0	1	17	1	1	1	0	10	4
2	10126 100	2	129	1107121	11	92	1115	6	0	0	6	6	0	1	17	1	1	1	0	10	4
1	10 24 101	2	27	1107121	12	92	1116	5	1	0	5	5	0	1	9	1	3	1	0	10	4
2	10 25 101	2	28	1107121	12	92	1116	7	2	0	6	7	0	1	11	1	3	1	0	10	3
2	10 37 101	2	40	1107121	1	93	1117	6	1	0	6	6	1	1	5	1	2	1	0	10	2
2	10 49 101	2	52	1107121	1	93	1117	8	1	0	8	8	0	1	25	1	1	1	0	10	4
2	10 51 101	2	54	1107121	1	93	1117	5	1	0	5	5	0	1	30	1	1	1	0	10	4
2	10 59 101	2	62	1107121	1	93	1117	4	1	0	4	4	0	1	9	1	1	1	0	10	3
2	10 87 10	12	90	1107121	2	93	1118	13	2	0	13	13	3	1	23	1	2	1	0	10	4
2	10 87 10	12	90	1107121	2	93	1118	13	2	0	13	13	3	1	23	1	2	1	0	10	4
2	10 87 10	12	90	1107121	2	93	1118	13	2	0	13	13	3	1	23	1	2	1	0	10	4
2	10 87 10	12	90	1107121	2	93	1118	13	2	0	13	13	3	1	23	1	2	1	0	10	4
4	10 19 10	2	22	1107121	11	92	1115	4	1	0	4	4	0	1	18	3	1	1	0	10	4
4	10 48 10	2	51	1107121	1	93	1117	7	2	0	7	7	2	1	28	1	2	1	0	10	3
3	10 49 10	2	52	1107121	1	93	1117	7	1	0	7	7	2	1	25	1	1	1	0	10	3
3	10 74 10	2	77	1107121	1	93	1117	7	1	0	7	7	2	1	26	1	1	1	0	10	1
4	10 93 10	2	96	1107121	2	93	1118	8	1	0	8	8	2	1	20	1	3	1	0	10	4
2	10126 10	2	129	1107121	11	92	1115	8	1	0	8	8	3	1	14	1	1	1	0	10	4
4	10138 10	2	141	1107121	1	93	1117	6	1	0	6	6	0	1	20	1	1	1	0	10	5
4	10138 10	2	141	1107121	1	93	1117	6	1	0	6	6	0	1	20	1	1	1	0	10	5
4	10138 10	2	141	1107121	1	93	1117	6	1	0	6	6	0	1	20	1	1	1	0	10	5
4	10138 10	2	141	1107121	1	93	1117	6	1	0	6	6	0	1	20	1	1	1	0	10	5
4	10138 10	2	141	1107121	1	93	1117	6	1	0	6	6	0	1	20	1	1	1	0	10	5
2	10 56 102	2	59	1107121	11	92	1115	5	1	0	5	5	0	1	26	1	1	1	0	10	1
3	10 67 102	2	70	1107121	12	92	1116	3	1	0	3	3	1	1	17	1	1	1	0	10	2
2	10 87 102	2	90	1107121	2	93	1118	6	1	0	6	6	0	1	23	1	2	1	0	10	5
3	10143 102	2	146	1107121	1	93	1117	4	1	0	4	4	2	1	16	1	1	1	0	10	5
3	10143 102	2	146	1107121	1	93	1117	4	1	0	4	4	2	1	16	1	1	1	0	10	5
3	10143 102	2	146	1107121	1	93	1117	4	1	0	4	4	2	1	16	1	1	1	0	10	5
3	10143 102	2	146	1107121	1	93	1117	4	1	0	4	4	2	1	16	1	1	1	0	10	5
3	10143 102	2	146	1107121	1	93	1117	4	1	0	4	4	2	1	16	1	1	1	0	10	5
3	10 28 102	9	31	1107121	12	92	1116	12	2	0	12	12	1	1	2	1	2	1	0	10	4
4	10 3 10	3	6	1107121	11	92	1115	5	2	0	5	5	0	1	24	1	4	1	0	10	2
3	10125 10	3	128	1107121	11	92	1115	4	1	0	2	4	0	1	13	1	1	1	0	10	5
4	10 6 103	2	9	1107121	11	92	1115	7	3	0	7	7	2	1	28	1	1	1	0	10	1
1	10 81 103	4	84	1107121	1	93	1117	5	1	0	5	3	0	1	29	1	1	1	0	10	4
3	10 81 103	4	84	1107121	1	93	1117	5	1	0	5	3	0	1	29	1	1	1	0	10	4
2	10116 10	4	119	1107121	11	92	1115	6	1	0	6	6	2	1	7	1	2	1	0	10	3
2	10141 10	4	144	1107121	2	93	1118	11	2	0	11	11	1	1	4	1	2	1	0	10	5
2	10141 10	4	144	1107121	2	93	1118	11	2	0	11	11	1	1	4	1	2	1	0	10	5
2	10141 10	4	144	1107121	2	93	1118	11	2	0	11	11	1	1	4	1	2	1	0	10	5
2	10 18 104	1	21	1107121	12	92	1116	3	1	0	3	3	0	1	6	1	2	1	0	10	3
2	10 71 104	1	74	1107121	1	93	1117	5	1	0	5	5	3	1	2	1	1	1	0	10	2
2	10 78 104	1	81	1107121	1	93	1117	4	1	0	4	4	1	1	28	1	1	1	0	10	2
2	10 90 104	1	93	1107121	2	93	1118	6	1	0	6	4	0	1	7	1	2	1	0	10	5
2	10128 104	1	131	1107121	11	92	1115	4	0	0	4	4	0	1	10	1	2	1	0	10	3
2	10137 104	1	140	1107121	1	93	1117	3	1	0	3	3	1	1	19	1	2	1	0	10	4
3	10 27 104	2	30	1107121	11	92	1115	7	2	0	7	7	2	1	27	1	5	1	0	10	3
2	10 33 104	2	36	1107121	12	92	1116	6	2	0	6	6	2	1	30	1	1	1	0	10	3
4	10 34 104	2	37	1107121	1	93	1117	5	1	0	5	3	2	1	7	1	1	1	0	10	4
3	10 39 104	2	42	1107121	12	92	1116	5	1	0	5	3	0	1	21	1	3	1	0	10	4
3	10 53 104	2	56	1107121	1	93	1117	3	1	0	3	3	0	1	28	1	2	1	0	10	4
3	10 66 104	2	69	1107121	12	92	1116	5	1	0	5	5	1	1	26	1	1	1	0	10	2
3	10 80 104	2	83	1107121	2	93	1118	8	1	0	6	8	1	1	9	1	3	1	0	10	1
3	10 97 104	2	100	1107121	2	93	1118	4	1	0	4	4	1	1	23	1	2	1	0	10	5
4	10105 104	2	108	1107121	2	93	1118	4	1	0	4	4	1	1	14	1	3	1	0	10	4
4	10119 104	2	122	1107121	12	92	1116	5	1	0	5	5	0	1	29	1	3	1	0	10	5
4	10122 104	2	125	1107121	12	92	1116	3	1	0	3	3	1	1	4	1	2	1	0	10	5
4	10142 104	2	145	1107121	2	93	1118	5	1	0	5	5	2	1	3	1	2	1	0	10	4
4	10144 104	2	147	1107121	1	93	1117	7	1	0	7	7	0	1	16	1	1	1	0	10	4
4	10147 104	2	150	1107121	1	93	1117	4	0	0	4	2	2	1	16	1	2	1	0	10	3
4	10148 104	2	151	1107121	1	93	1117	6	1	0	6	6	0	1	18	1	2	1	0	10	5
4	10148 104	2	151	1107121	1	93	1117	6	1	0	6	6	0	1	18	1	2	1	0	10	5
2	10 2 104	3	5	1107121	11	92	1115	4	2	0	2	4	0	1	5	1	3	1	0	10	2
2	10 2 104	3	5	1107121	11	92	1115	4	2	0	2	4	0	1	5	1	3	1	0	10	2
2	10 52 104	4	55	1107121	1	93	1117	10	1	0	10	8	1	1	23	1	5	1	0	10	4
4	10 52 104	4	55	1107121	1	93	1117	10	1	0	10	8	1	1	23	1	5	1	0	10	4
4	10 52 104	4	55	1107121	1	93	1117	10	1	0	10	8	1	1	23	1	5	1	0	10	4
2	10 55 105	2	58	1107121	11	92	1115	6	1	0	6	6	0	1	28	1	1	1	0	10	1
1	10 79 105	2	82	1107121	1	93	1117	6	1	0	6	5	1	1	29	1	1	1	0	10	1
1	10 84 105	2	87	1107121	2	93	1118	4	1	0	4	4	0	1	10	1	3	1	0	10	3
1	10 94 105	2	97	1107121	2	93	1118	3	1	0	3	3	1	1	17	1	2	1	0	10	3
1	10126 105	2	129	1107121	11	92	1115	8	1	0	8	5	0	1	17	1	1	1	0	10	4
1	10133 105	2	136	1107121	12	92	1116	3	1	0	3	2	0	1	4	3	3	1	0	10	5
1	10138 105	2	141	1107121	1	93	1117	4	1	0	4	4	0	1	22	1	1	1	0	10	5
1	10138 105	2	141	1107121	1	93	1117	4	1	0	4	4	0	1	22	1	1	1	0	10	5
1	10138 105	2	141	1107121	1	93	1117	4	1	0	4	4	0	1	22	1	1	1	0	10	5
1	10138 105	2	141	1107121	1	93	1117	4	1	0	4	4	0	1	22	1	1	1	0	10	5
2	10 8 106	2	11	1107121	11	92	1115	5	1	0	5	5	0	1	19	1	3	1	0	10	1
1	10 22 106	2	25	1107121	11	92	1115	5	0	0	5	5	1	1	23	1	1	1	0	10	2
1	10 87 106	4	90	1107121	2	93	1118	14	2	0	14	14	2	1	24	1	2	1	0	10	5
2	10 1 107	3	4	1107121	11	92	1115	11	1	0	10	9	0	1	4	1	1	1	0	10	4
1	10 1 107	3	4	1107121	11	92	1115	11	1	0	10	9	0	1	4	1	1	1	0	10	4
1	10 1 107	3	4	1107121	11	92	1115	11	1	0	10	9	0	1	4	1	1	1	0	10	4
3	10 5 108	2	8	1107121	11	92	1115	7	1	0	7	7	2	1	17	1	3	1	0	10	1
2	10 47 108	2	50	1107121	2	93	1118	8	1	0	8	8	0	1	2	1	3	1	0	10	1
4	10 50 108	2	53	1107121	2	93	1118	6	1	0	6	6	0	1	24	1	3	1	0	10	1
2	10124 108	2	127	1107121	1	93	1117	5	1	0	5	5	2	1	21	1	1	1	0	10	5
2	10137 108	2	140	1107121	1	93	1117	2	1	0	2	2	0	1	20	1	2	1	0	10	4
2	10137 108	2	140	1107121	1	93	1117	2	1	0	2	2	0	1	20	1	2	1	0	10	4
2	10137 108	2	140	1107121	1	93	1117	2	1	0	2	2	0	1	20	1	2	1	0	10	4

Re: Regarding Proc reg

Ksharp — Sun, 14 Dec 2014 06:31:22 GMT

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

Re: Regarding Proc reg

Reeza — Sun, 14 Dec 2014 07:39:16 GMT

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?

Re: Regarding Proc reg

anilgvdbm — Mon, 15 Dec 2014 04:02:56 GMT

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

Re: Regarding Proc reg

Ksharp — Mon, 15 Dec 2014 12:39:35 GMT

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

SAS Statistical Procedures

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

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