A scientific foundation wanted to evaluate the relation between y= salary of researcher (in thousands of dollars), x1= number of years of experience, x2= an index of publication quality, x3=sex (M=1, F=0) and x4= an index of success in obtaining grant support. A sample of 35 randomly selected researchers was used to fit the multiple regression model. Parts of the computer output appear below. Based from the table, what is the constant term of the multiple linear regression?

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A scientific foundation wanted to evaluate the relation between y= salary of researcher (in thousands of dollars), x1= number of years of experience, x2= an index of publication quality, x3=sex (M=1, F=0) and x4= an index of success in obtaining grant support. A sample of 35 randomly selected researchers was used to fit the multiple regression model. Parts of the computer output appear below. Based from the table, what is the constant term of the multiple linear regression?

 

 

Predictor
Coef
SE Coef
P
Constant
17.846931
2.001876
8.915
0.0001
Years
1.103130
0.359573
3.068
0.0032
Papers
0.321520
0.037109
0.0002
Sex
1.593400
0.687724
2.317
0.0083
Grants
1.288941
0.298479
4.318
0.0003
S = 1.75276
R-sq = 92.3%
adj R-sq = 91.4%
Transcribed Image Text:Predictor Coef SE Coef P Constant 17.846931 2.001876 8.915 0.0001 Years 1.103130 0.359573 3.068 0.0032 Papers 0.321520 0.037109 0.0002 Sex 1.593400 0.687724 2.317 0.0083 Grants 1.288941 0.298479 4.318 0.0003 S = 1.75276 R-sq = 92.3% adj R-sq = 91.4%
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