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The SAS System

Obs	Genero	Categ	IMC
1	F	AT	19.7
2	F	AT	20.3
3	F	AT	19.3
4	F	AT	20.9
5	F	SEM	22.4
6	F	SEM	21.9
7	F	SEM	23.8
8	F	SEM	24.1
9	F	SED	26.3
10	F	SED	23.5
11	F	SED	24.8
12	F	SED	26.6
13	F	PR	26.2
14	F	PR	24.2
15	F	PR	25.4
16	F	PR	24.9
17	M	AT	20.2
18	M	AT	21.3
19	M	AT	19.3
20	M	AT	21.1
21	M	SEM	21.2
22	M	SEM	20.1
23	M	SEM	19.7
24	M	SEM	21.1
25	M	SED	27.3
26	M	SED	23.4
27	M	SED	25.2
28	M	SED	26.4
29	M	PR	22.3
30	M	PR	22.2
31	M	PR	22.1
32	M	PR	23.3

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The SAS System

The GLM Procedure

Class Level Information
Class	Levels	Values
Genero	2	F M
Categ	4	AT PR SED SEM

Number of Observations Read	32
Number of Observations Used	32

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The SAS System

The GLM Procedure

Dependent Variable: IMC

Source	DF	Sum of Squares	Mean Square	F Value	Pr > F
Model	7	151.5871875	21.6553125	19.38	<.0001
Error	24	26.8175000	1.1173958
Corrected Total	31	178.4046875

R-Square	Coeff Var	Root MSE	IMC Mean
0.849682	4.630558	1.057069	22.82813

Source	DF	Type I SS	Mean Square	F Value	Pr > F
Genero	1	10.2378125	10.2378125	9.16	0.0058
Categ	3	123.7434375	41.2478125	36.91	<.0001
Genero*Categ	3	17.6059375	5.8686458	5.25	0.0063

Source	DF	Type III SS	Mean Square	F Value	Pr > F
Genero	1	10.2378125	10.2378125	9.16	0.0058
Categ	3	123.7434375	41.2478125	36.91	<.0001
Genero*Categ	3	17.6059375	5.8686458	5.25	0.0063

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The SAS System

The GLM Procedure

Least Squares Means

Adjustment for Multiple Comparisons: Tukey

Genero	Categ	IMC LSMEAN	LSMEAN Number
F	AT	20.0500000	1
F	PR	25.1750000	2
F	SED	25.3000000	3
F	SEM	23.0500000	4
M	AT	20.4750000	5
M	PR	22.4750000	6
M	SED	25.5750000	7
M	SEM	20.5250000	8

Least Squares Means for effect Genero*Categ Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: IMC
i/j	1	2	3	4	5	6	7	8
1		<.0001	<.0001	0.0102	0.9990	0.0578	<.0001	0.9979
2	<.0001		1.0000	0.1306	<.0001	0.0257	0.9993	<.0001
3	<.0001	1.0000		0.0939	<.0001	0.0175	0.9999	<.0001
4	0.0102	0.1306	0.0939		0.0374	0.9933	0.0433	0.0433
5	0.9990	<.0001	<.0001	0.0374		0.1784	<.0001	1.0000
6	0.0578	0.0257	0.0175	0.9933	0.1784		0.0074	0.2010
7	<.0001	0.9993	0.9999	0.0433	<.0001	0.0074		<.0001
8	0.9979	<.0001	<.0001	0.0433	1.0000	0.2010	<.0001

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The SAS System

The GLM Procedure

Least Squares Means

Genero*Categ Effect Sliced by Genero for IMC
Genero	DF	Sum of Squares	Mean Square	F Value	Pr > F
F	3	72.421875	24.140625	21.60	<.0001
M	3	68.927500	22.975833	20.56	<.0001

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The SAS System

The GLM Procedure

Least Squares Means

Adjustment for Multiple Comparisons: Tukey

Genero	Categ	IMC LSMEAN	LSMEAN Number
F	AT	20.0500000	1
F	PR	25.1750000	2
F	SED	25.3000000	3
F	SEM	23.0500000	4
M	AT	20.4750000	5
M	PR	22.4750000	6
M	SED	25.5750000	7
M	SEM	20.5250000	8

Least Squares Means for effect Genero*Categ Pr > |t| for H0: LSMean(i)=LSMean(j) Dependent Variable: IMC
i/j	1	2	3	4	5	6	7	8
1		<.0001	<.0001	0.0102	0.9990	0.0578	<.0001	0.9979
2	<.0001		1.0000	0.1306	<.0001	0.0257	0.9993	<.0001
3	<.0001	1.0000		0.0939	<.0001	0.0175	0.9999	<.0001
4	0.0102	0.1306	0.0939		0.0374	0.9933	0.0433	0.0433
5	0.9990	<.0001	<.0001	0.0374		0.1784	<.0001	1.0000
6	0.0578	0.0257	0.0175	0.9933	0.1784		0.0074	0.2010
7	<.0001	0.9993	0.9999	0.0433	<.0001	0.0074		<.0001
8	0.9979	<.0001	<.0001	0.0433	1.0000	0.2010	<.0001

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The SAS System

The GLM Procedure

Least Squares Means

Genero*Categ Effect Sliced by Categ for IMC
Categ	DF	Sum of Squares	Mean Square	F Value	Pr > F
AT	1	0.361250	0.361250	0.32	0.5749
PR	1	14.580000	14.580000	13.05	0.0014
SED	1	0.151250	0.151250	0.14	0.7162
SEM	1	12.751250	12.751250	11.41	0.0025