A real estate analyst believes that the three main factors that influence an apartment's rent in a college town are the number of bedrooms, the number of bathrooms, and the apartment's square footage. For 40 apartments, she collects data on the rent (y, in $) , the number of bedrooms (x1) , the number of bathrooms (x2) , and its square footage (x3) . She estimates the following model as Rent = β0 + β1Bedroom + β2Bath + β3Sqft + ε. The following ANOVA table shows a portion of the regression results.
The slope coefficient for Bedroom indicates that, holding other explanatory variables constant, ________.
A) for each additional bedroom the rent is predicted to increase by $226
B) for each additional bedroom the rent is predicted to increase by $89
C) for each additional bedroom the rent is predicted to increase by $300
D) for each additional bedroom the rent is predicted to increase by $0.20
Correct Answer:
Verified
Q91: A manager at a local bank analyzed
Q92: A real estate analyst believes that the
Q93: Assume you ran a multiple regression to
Q94: A manager at a local bank analyzed
Q95: A marketing analyst wants to examine the
Q97: A real estate analyst believes that the
Q98: Consider the following sample regression equation
Q99: A marketing analyst wants to examine the
Q100: When estimating Q101: A sociologist examines the relationship between the![]()
Unlock this Answer For Free Now!
View this answer and more for free by performing one of the following actions
Scan the QR code to install the App and get 2 free unlocks
Unlock quizzes for free by uploading documents