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In Hawaii, condemnation proceedings are under way to enable private citizens to

ID: 2907232 • Letter: I

Question

In Hawaii, condemnation proceedings are under way to enable private citizens to own the property that their homes are built on. Until recently, only estates were permitted to own land, and homeowners leased the land from the estate. In order to comply with the new law, a large Hawaiian estate wants to use regression analysis to estimate the fair market value of the land. The following model was fit to data collected for n = 20 properties, 10 of which are located near a cove.

where Y = Sale price of property in thousands of dollars
         X1 = Size of property in thousands of square feet
         X2 = 1 if property located near cove, 0 if not

Using the data collected for the 20 properties, the following partial output obtained from Microsoft Excel is shown:

SUMMARY OUTPUT

Regression Statistics
Multiple R             0.985
R Square              0.970
Standard Error      9.5
Observations        20

ANOVA
                   df      SS      MS       F     Signif F
Regression    5   28324 5664   62.2    0.0001
Residual      14      1279    91
Total          19    29063

                    Coeff    StdError t Stat     P-value
Intercept        - 32.1     35.7      – 0.90      0.3834
Size                 12.2         5.9         2.05      0.0594
Cove          – 104.3       53.5    – 1.95      0.0715
Size*Cove        17.0       8.5         1.99      0.0661
SizeSq            – 0.3         0.2     – 1.28      0.2204
SizeSq*Cove – 0.3       0.3        – 1.13     0.2749

Referring to Table 15-3, is the overall model statistically adequate at a 0.05 level of significance for predicting sale price (Y)?

Question 24 options:

No, since some of the t tests for the individual variables are not significant.

No, since the standard deviation of the model is fairly large.

Yes, since none of the beta-estimates are equal to 0.

Yes, since the p-value for the F-test is smaller than 0.05.

No, since some of the t tests for the individual variables are not significant.

No, since the standard deviation of the model is fairly large.

Yes, since none of the beta-estimates are equal to 0.

Yes, since the p-value for the F-test is smaller than 0.05.

Explanation / Answer

For checking the overall model, we need to check the p-value for F statistic. If the p-value for F (Signif F) is less than the 0.05 level of significance, we conclude that the model is significant.

As, the p-value for F (Signif F) is 0.0001 which is less than the 0.05 level of significance, the answer is,

Yes, since the p-value for the F-test is smaller than 0.05.

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