The GLM Procedure - SAS Program - Lecture Notes | STAT 479, Study notes of Statistics

Material Type: Notes; Professor: Marasinghe; Class: CMPTR PROCESSG DATA; Subject: STATISTICS; University: Iowa State University; Term: Unknown 1989;

Typology: Study notes

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EXAMPLE D8
SAS Program
options ls=120 ps=50 nodate pageno=1;
data cement;
input x1-x4 y;
datalines;
7 26 6 60 78.5
1 29 15 52 74.3
11 56 8 20 104.3
11 31 8 47 87.6
7 52 6 33 95.9
11 55 9 22 109.2
3 71 17 6 102.7
1 31 22 44 72.5
2 54 18 22 93.1
21 47 4 26 115.9
1 40 23 34 83.8
11 66 9 12 113.3
10 68 8 12 109.4
;
run;
proc glm;
model y = x1 x2 x3 x4/ss1 ss2;
title 'Types of SS: Hald Data';
run;
pf3

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EXAMPLE D8SAS Program options^ ls=120^ ps=50^ nodate^ pageno=1;data^ cement;input x1-x4^ y;datalines;7 26^ 6 60^ 78.51 29 15 52^ 74.311 56^ 8 20^ 104.311 31^ 8 47^ 87.67 52^ 6 33^ 95.911 55^ 9 22^ 109.23 71 17^6 102.71 31 22 44^ 72.52 54 18 22^ 93.121 47^ 4 26^ 115.91 40 23 34^ 83.811 66^ 9 12^ 113.310 68^ 8 12^ 109.4; run;proc glm;model^ y =^ x1^ x2^ x3^ x4/ss1^ ss2;title^ 'Types^ of^ SS:^ Hald^ Data';run;

SAS Output

Types^ of^ SS: Hald^ Data^

The^ GLM^ ProcedureNumber of Observations^ Read^13 Number of Observations^ Used^13 Types^ of^ SS: Hald^ Data^

The^ GLM^ Procedure Dependent^ Variable:^ y

Sum of Source^ DF^

Squares^ Mean Square^ F^ Value^ Pr >

F

Model^4 2667.

666.974859^ 111.48^ <.

Error^8 47.

Corrected^ Total^12 2715.763077R-Square^ Coeff^ Var

Root^ MSE^ y^ Mean0.982376 2.563330 2.446008^ 95.