. The summary output obtained from fitting the multiple regression are given below. Coefficients Model Unstandardized Coeficients Standardized Sig. Coefficients B Std. Error Beta (Constant) -283.538 718.506 .395 .693 Education (in years) 578.080 48.399 .521 11.944 .000 Gender -1611.585 278.019 253 -5.797 .000 Note: Dependent Variable: Beginning salary, Male=0 & Female=1.

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Author:Amos Gilat
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Chapter1: Starting With Matlab
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Bus-173 (Applied Statistics)

Q3. The summary output obtained from fitting the multiple regression are given below.
Coefficients
Model
Unstandardized Coefficients
Standardized
Sig.
Coefficients
Std. Error
B
Beta
(Constant)
-283.538
718.506
-.395
.693
Education (in years)
578.080
48.399
521
11.944
.000
Gender
-1611.585
278.019
-253
-5.797
.000
Note: Dependent Variable: Beginning salary, Male=0 & Female=1.
(a) Write down the appropriate multiple regression model with necessary explanation.
(b) Find the estimated multiple regression model and interpret estimated regression
coefficient values.
(c) Find the predicted beginning salary for an employee who is male and has 15 years
of education.
Transcribed Image Text:Q3. The summary output obtained from fitting the multiple regression are given below. Coefficients Model Unstandardized Coefficients Standardized Sig. Coefficients Std. Error B Beta (Constant) -283.538 718.506 -.395 .693 Education (in years) 578.080 48.399 521 11.944 .000 Gender -1611.585 278.019 -253 -5.797 .000 Note: Dependent Variable: Beginning salary, Male=0 & Female=1. (a) Write down the appropriate multiple regression model with necessary explanation. (b) Find the estimated multiple regression model and interpret estimated regression coefficient values. (c) Find the predicted beginning salary for an employee who is male and has 15 years of education.
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