Academic Integrity: tutoring, explanations, and feedback — we don’t complete graded work or submit on a student’s behalf.

Consider this output from a simple linear regression model: ANOVA df SS MS F Reg

ID: 3176656 • Letter: C

Question

Consider this output from a simple linear regression model:

ANOVA

df

SS

MS

F

Regression

1.000

4935.564

4935.564

?????

Error

11.000

?????

263.760

Total

?????

7836.923

Coefficients

Standard Error

t Stat

P-value

Constant

?????

10.863

0.673

0.515

x

8.297

1.918

?????

0.001

Provide the numerical value for the quantities below (round off all your answer to three decimal digits)

The regression is significant and the predictor is a good predictor at alpha 0.05 (p-value = )

the F-test for the significance of the regression is equal to

Beta0 is equal to

the T-test for Beta1 is equal to

SSE is equal to

the number of observations collected for the study is equal to

the rejection region for the significance of the predictor at alpha 0.01 is equal to

ANOVA

df

SS

MS

F

Regression

1.000

4935.564

4935.564

?????

Error

11.000

?????

263.760

Total

?????

7836.923

Coefficients

Standard Error

t Stat

P-value

Constant

?????

10.863

0.673

0.515

x

8.297

1.918

?????

0.001

Explanation / Answer

a) SInce F cal=18.71

P value =0.000 > 0.05 we reject the H0. Hence claim is significant

b)

ANOVA df SS MS F Regression 1 4935.6 4935.564 18.7123294 Error 11 2901.4 263.76 Total 12 7836.9 Coefficients Standard Error t Stat P-value Constant 7.3108 10.863 0.673 0.515 x 8.297 1.918 4.32586027 0.001