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A social scientist would like to analyze the relationship between educational attainment in years of higher education) and an


Excel File Edit View Insert Format oo AutoSave OFF A s o Home Insert Draw Page Layout Formula: F4 x V fx B C D Salary Educati
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Answer #1

Solution:

Here, we have to develop the regression model for the prediction of dependent variable salary based on the independent variable years of education. The regression output by using excel is given as below:

Regression Statistics

Multiple R

0.395737029

R Square

0.156607796

Adjusted R Square

0.109752673

Standard Error

33.16421913

Observations

20

ANOVA

df

SS

MS

F

Significance F

Regression

1

3676.172249

3676.172249

3.342383665

0.08413922

Residual

18

19797.57775

1099.865431

Total

19

23473.75

Coefficients

Standard Error

t Stat

P-value

Lower 95%

Upper 95%

Intercept

52.93181818

12.24669954

4.32212924

0.000410462

27.20245724

78.66117912

Education

4.688995215

2.564788983

1.828218714

0.08413922

-0.699426479

10.07741691

Part a

The required sample regression equation for the model by using above regression output is given as below:

Salary = 52.93 + 4.69*Education

Part b

Interpretation:

As Education increases by 1 unit, an individual’s annual salary is predicted to increase by $4,690.

Part c

We are given

Education = 7 years

Salary = 52.93 + 4.69*Education

Salary = 52.93 + 4.69*7

Salary = 85.76

Predicted Salary = $85.76*1000

Predicted Salary = $85,760

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