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Is the equation as a whole statistically significant

Assignment Help Management Theories
Reference no: EM13181046

SUMMARY  OUTPUT

 

 

 

 

 

 

 

 

 

Regression Statistics

Multiple R

0.786816411

 

 

 

 

 

 

 

R Square

0.619080065

 

 

 

 

 

 

 

Adjusted R Square

0.585469483

 

 

 

 

 

 

 

Standard Error

180042.1358

 

 

 

 

 

 

 

Observations

38

 

 

 

 

 

 

 

ANOVA

 

 

 

 

 

 

 

 

 

df

SS

MS

F

Significance F

 

 

 

Regression

3

1.79118E+12

5.97E+11

18.4192

2.84688E-07

 

 

 

Residual

34

1.10212E+12

3.24E+10

 

 

 

 

 

Total

37

2.8933E+12

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Coefficients

Standard Error

t Stat

P-value

Lower 95%

Upper 95%

Lower 95.0%

Upper 95.0%

Intercept

723745.5192

164737.5271

4.393325

0.000104

388958.5842

1058532.454

388958.5842

1058532.454

Lot Sqft

24.34247836

6.780755687

3.589936

0.00103

10.56232484

38.12263187

10.56232484

38.12263187

Age

-6229.29051

1541.071989

-4.04218

0.000287

-9361.125599

-3097.455421

-9361.125599

°-3097.455421

Bedrooms

61682.63944

30558.60758

2.018503

0.051483

-419.923028

123785.2019

-419.923028

123785.2019

RESIDUAL OUTPUT

 

 

PROBABILITY OUTPUT

Observation

Predicted Sold Price

Residuals

Percentile

Sold Price

1

1091003.519

58996.48065

1.315789

400000

2

942238.6536

-403238.6536

3.947368

400000

3

621964.8781

58035.12194

6.578947

425000

4

614492.2402

-189492.2402

9.210526

430000

5

711627.0639

237372.9361

11.84211

500000

6

643715.134

-9015.133961

14.47368

539000

7

704715.0008

-204715.0008

17.10526

630000

8

739933.7991

60066.20094

19.73684

634700

1. Write the equation

2. Do the signs of the coefficients make sense?

3. Interpretation of the coefficients

4. Are the coefficients statistically significant?

5. Interpret R square

6. Is R square good/bad?

7. Is the equation as a whole statistically significant?

Reference no: EM13181046

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