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Problem set 2. A. Use the dataset below to run a regression where x1 and x2 are

ID: 1139370 • Letter: P

Question

Problem set 2.

A. Use the dataset below to run a regression where x1 and x2 are the independent variables and y is the dependent variable.

What is the coefficient of determination (R-squared) for this regression?

Round your answer to four decimal places.

B. Use the dataset below to run a regression where x1 and x2 are the independent variables and y is the dependent variable.

What is the adjusted coefficient of determination (Adj. R-squared) for this regression?

Round your answer to four decimal places.

C. Use the dataset below to run a regression where x1 and x2 are the independent variables and y is the dependent variable.

What is the F-Statistic for this regression?

Round your answer to four decimal places.

y x1 x2 47 1 8 25 10 10 49 8 3 45 2 5 64 6 7

Explanation / Answer

SUMMARY OUTPUT

Regression Statistics

Multiple R

0.567193245

R Square

0.321708177

Adjusted R Square

-0.356583645

Standard Error

16.22273797

Observations

5

ANOVA

df

SS

MS

F

Significance F

Regression

2

249.6455

124.8228

0.474292

0.67829182

Residual

2

526.3545

263.1772

Total

4

776

Coefficients

Standard Error

t Stat

P-value

Lower 95%

Upper 95%

Lower 95.0%

Upper 95.0%

Intercept

66.83150442

22.8264

2.927817

0.099543

-31.3825483

165.0456

-31.3825

165.0456

x1

-1.114572271

2.12927

-0.52345

0.652878

-10.2760815

8.046937

-10.2761

8.046937

x2

-2.244365782

3.031797

-0.74028

0.53624

-15.2891365

10.8004

-15.2891

10.8004

The following are the regression result for y on x1 and x2.

A)The coefficient of determination (R2) is 0.3217

B) Adjusted R2 = -0.3566

C) F-statistic = 0.4743.

*Please upvote if possible.

SUMMARY OUTPUT

Regression Statistics

Multiple R

0.567193245

R Square

0.321708177

Adjusted R Square

-0.356583645

Standard Error

16.22273797

Observations

5

ANOVA

df

SS

MS

F

Significance F

Regression

2

249.6455

124.8228

0.474292

0.67829182

Residual

2

526.3545

263.1772

Total

4

776

Coefficients

Standard Error

t Stat

P-value

Lower 95%

Upper 95%

Lower 95.0%

Upper 95.0%

Intercept

66.83150442

22.8264

2.927817

0.099543

-31.3825483

165.0456

-31.3825

165.0456

x1

-1.114572271

2.12927

-0.52345

0.652878

-10.2760815

8.046937

-10.2761

8.046937

x2

-2.244365782

3.031797

-0.74028

0.53624

-15.2891365

10.8004

-15.2891

10.8004

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