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Instruction 16-3
in Hawaii,condemnation Proceedings Are Under Way to Enable

question 25

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Instruction 16-3
In Hawaii,condemnation proceedings are under way to enable private citizens to own the property upon which their homes are built.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.Model 1: Y = β 0 + β 1X1 + β 2X2 + β 3X1X2 + β 4+ β 5X2 + ε where
Y = Sale price of property in thousands of dollars
X1 = Size of property in thousands of square metres
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 Std. Error 9.5 Observations 20 ANOVA df SS  MS F Signif F  Regression 528324566462.20.0001 Residual 14127991 Total 1929603Coeff StdError t stat  P-Value Intercept 32.135.70.900.3834 Size 12.25.92.050.0594 Cove 104.353.51.950.0715 Size  Cove 17.08.51.990.0661 SizeSq 0.30.21.280.2204 SizeSq 0.30.31.130.2749\begin{array}{|l|l|l|l|l|l|}\hline \text { SUMMARY } & \text { OUTPUT } & \\\hline \text { Regression } & \text { Statistics } & \\\hline \text { Multiple R } & & 0.985 \\\hline \text { R Square } & & 0.970 \\\hline \text { Std. Error } & & 9.5 \\\hline \text { Observations } & & 20 \\\hline\\\hline\text { ANOVA }\\\hline & d f & \text { SS } & \text { MS } & F & \text { Signif F } \\\hline \text { Regression } & 5 & 28324 & 5664 & 62.2 & 0.0001 \\\hline \text { Residual } & 14 & 1279 & 91 & & \\\hline \text { Total } & 19 & 29603 & & & \\\hline\\\hline&\text {Coeff }&\text {StdError }&\text {t stat }&\text { P-Value}\\\hline \text { Intercept } & -32.1 & 35.7 & -0.90 & 0.3834 \\\hline \text { Size } & 12.2 & 5.9 & 2.05 & 0.0594 \\\hline \text { Cove } & -104.3 & 53.5 & -1.95 & 0.0715 \\\hline \text { Size }{ }^{*} \text { Cove } & 17.0 & 8.5 & 1.99 & 0.0661 \\\hline \text { SizeSq } & -0.3 & 0.2 & -1.28 & 0.2204 \\\hline \text { SizeSq } & -0.3 & 0.3 & -1.13 & 0.2749 \\\hline \end{array} Note: Std.Error = Standard Error
-Referring to Instruction 16-3,is the overall model statistically adequate at a 0.05 level of significance for predicting sale price (Y) ?


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