Q3. The summary output obtained from fitting the multiple regression are given below. Coefficients Model Sig. Unstandardized Coeficients Standardized Coefficients B Std. Error Beta (Constant) -5063.482 730.224 -6.934 .000 Education (in years) 746.506 39.517 .684 18.891 .000 Age (in years) 48.362 9.671 .181 5.000 .000 Note. Dependent Variable: Beginning salary (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 25 years old and has 17 vears of education,

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Bus- 173 (Applied Statistics)

Q3. The summary output obtained from fitting the multiple regression are given below.
Coefficients
Model
Sig.
Unstandardized Coeficients
Standardized
Coefficients
B
Std. Error
Beta
(Constant)
-5063.482
730.224
-6.934
.000
Education (in years)
746.506
39.517
.684
18.891
.000
Age (in years)
48.362
9.671
.181
5.000
.000
Note. Dependent Variable: Beginning salary
(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 25 years old and has 17
years of education.
Transcribed Image Text:Q3. The summary output obtained from fitting the multiple regression are given below. Coefficients Model Sig. Unstandardized Coeficients Standardized Coefficients B Std. Error Beta (Constant) -5063.482 730.224 -6.934 .000 Education (in years) 746.506 39.517 .684 18.891 .000 Age (in years) 48.362 9.671 .181 5.000 .000 Note. Dependent Variable: Beginning salary (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 25 years old and has 17 years of education.
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