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 results also state that SSR(X,) = 156,738.3 and SSR (X2) = 306, 121.8. Complete parts (a) and (b) below. Sum of of Freedom Squares 422,061.6 Degrees Source Regression Error 27 29 181,929.2 603.990 8 Total C 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 land area does not significantly improve the model after the variable age of a house has been included. significantly improves the model after the variable age of a house has been included. H: The variable land area Calculate the test statistic. FSTAT = (Round to two decimal places as needed.)
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 results also state that SSR(X,) = 156,738.3 and SSR (X2) = 306, 121.8. Complete parts (a) and (b) below. Sum of of Freedom Squares 422,061.6 Degrees Source Regression Error 27 29 181,929.2 603.990 8 Total C 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 land area does not significantly improve the model after the variable age of a house has been included. significantly improves the model after the variable age of a house has been included. H: The variable land area Calculate the test statistic. FSTAT = (Round to two decimal places as needed.)
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.6: Summarizing Categorical Data
Problem 31PPS
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Please calculate the test statistic
fstat=
Transcribed Image 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 results also state that SSR(X,) = 156,738.3 and
SSR (X2) = 306, 121.8. Complete parts (a) and (b) below.
Sum of
of Freedom Squares
422,061.6
Degrees
Source
Regression
Error
27
181,929.2
603,990.8
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
land area
does not significantly improve the model after the variable age of a house has been included.
H,: The variable
significantly improves the model after the variable age of a house has been included.
land area
Calculate the test statistic.
FSTAT = (Round to two decimal places as needed.)
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