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
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 me...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
Q38: Most statistical software print a second R<sup>2</sup>
Q81: Multicollinearity affects the t-tests of the individual
Q84: In a multiple regression analysis involving 6
Q96: The validity of a multiple regression model
Q108: For the following multiple regression model: <img
Q115: A multiple regression model has the form:
Q117: When an additional explanatory variable is introduced
Q117: Real Estate Builder A real estate builder
Q118: Real Estate Builder A real estate builder
Q121: For a multiple regression model the following