Part of the ANOVA summary table for using land area (X, ) and age of a house (X,) to predict fair market value is shown to the right. The Degrees Sum of of Freedom Squares 422,061.6 181,929.2...


Part of the ANOVA summary table for using land area (X, ) and age of a house (X,) to predict fair market value is shown to the right. The<br>Degrees<br>Sum of<br>of Freedom Squares<br>422,061.6<br>181,929.2<br>603,990.8<br>results also state that SSR (X,) = 156,738.3 and SSR(X2) = 306,121.8. Complete parts (a) and (b) below.<br>Source<br>Regression<br>Error<br>2<br>27<br>Total<br>29<br>a. At the 0.05 level of significance, determine whether each independent variable makes a significant contribution to the regression model. On the basis of these results, indicate the most<br>appropriate regression model for this set of data,<br>Write the hypotheses for the contribution of the variable land area.<br>Ho: The variable<br>V does not significantly improve the model after the variable<br>V has been included.<br>H,: The variable<br>V significantly improves the model after the variable<br>has been included.<br>

Extracted text: Part of the ANOVA summary table for using land area (X, ) and age of a house (X,) to predict fair market value is shown to the right. The Degrees Sum of of Freedom Squares 422,061.6 181,929.2 603,990.8 results also state that SSR (X,) = 156,738.3 and SSR(X2) = 306,121.8. Complete parts (a) and (b) below. Source Regression Error 2 27 Total 29 a. At the 0.05 level of significance, determine whether each independent variable makes a significant contribution to the regression model. On the basis of these results, indicate the most appropriate regression model for this set of data, Write the hypotheses for the contribution of the variable land area. Ho: The variable V does not significantly improve the model after the variable V has been included. H,: The variable V significantly improves the model after the variable has been included.

Jun 09, 2022
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