Real Estate Builder
A real estate builder wishes to determine how house size is influenced by family income,family size,and education of the head of household.House size is measured in hundreds of square feet,income is measured in thousands of dollars,and education is measured in years.A partial computer output is shown below. SUMMARY OUTPUT Regression Statistics Multiple R 0.865 R Square 0.748 Adjusted R Square 0.726 Standard Error 5.195 Observations 50 ANOVA
-{Real Estate Builder Narrative} At the 0.01 level of significance,what conclusion should the builder draw regarding the inclusion of income in the regression model?

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Real Estate Builder
 A real estate builder wishes to determine how house size is influenced by family income,family size,and education of the head of household.House size is measured in hundreds of square feet,income is measured in thousands of dollars,and education is measured in years.A partial computer output is shown below. SUMMARY OUTPUT Regression Statistics Multiple R 0.865 R Square 0.748 Adjusted R Square 0.726 Standard Error 5.195 Observations 50 ANOVA   ​ ​
-{Real Estate Builder Narrative} At the 0.01 level of significance,what conclusion should the builder draw regarding the inclusion of income in the regression model?

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The Answer of  Real Estate Builder
 A real estate builder wishes to determine how house size is influenced by family income,family size,and education of the head of household.House size is measured in hundreds of square feet,income is measured in thousands of dollars,and education is measured in years.A partial computer output is shown below. SUMMARY OUTPUT Regression Statistics Multiple R 0.865 R Square 0.748 Adjusted R Square 0.726 Standard Error 5.195 Observations 50 ANOVA   ​ ​
-{Real Estate Builder Narrative} At the 0.01 level of significance,what conclusion should the builder draw regarding the inclusion of income in the regression model?

Real Estate Builder a Real Estate Builder Wishes to Determine How House