Essay
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} When the builder used a simple linear regression model with house size as the dependent variable and education as the independent variable,he obtained an R-square value of 23.0%.What additional percentage of the total variation in house size has been explained by including family size and income in the multiple regression?
Correct Answer:

Verified
86.5% − 23.0% = 63.5%.This mea...View Answer
Unlock this answer now
Get Access to more Verified Answers free of charge
Correct Answer:
Verified
View Answer
Unlock this answer now
Get Access to more Verified Answers free of charge
Q47: Real Estate Builder<br> A real estate
Q48: Multicollinearity is present when there is a
Q49: Life Expectancy<br> An actuary wanted to
Q51: For a multiple regression model,the total variation
Q53: When there is more than one independent
Q54: Real Estate Builder<br> A real estate
Q55: Student's Final Grade <br>A statistics professor investigated
Q56: The range of the values of the
Q57: Real Estate Builder<br> A real estate
Q140: One of the consequences of multicollinearity in