Question

Consider a dataset with house prices as the dependent variable and two independent variables: square footage and number of bedrooms. The regression equation is found to be: Price = 50,000 + 200(Square Footage) + 15,000(Number of Bedrooms). Interpret the coefficients in the context of house pricing.

Name: consider a dataset with house prices as the dependent variable and two independent variables square footage and number of bedrooms the regression equation is found to be price 50000 200square footage
Uploaded: 2023-11-28T01:10:34-08:00
Duration: 1 min 35 s
Channel: Ivan Kochetkov
Description: consider a dataset with house prices as the dependent variable and two independent variables square footage and number of bedrooms the regression equation is found to be price 50000 200square footage

          Consider a dataset with house prices as the dependent variable and two independent variables: square footage and number of bedrooms. The regression equation is found to be: Price = 50,000 + 200(Square Footage) + 15,000(Number of Bedrooms). Interpret the coefficients in the context of house pricing.

Added by Lucy Y.

Instant Answer

Solved by Expert Ivan Kochetkov

11/28/2023

Step 1

The constant term (50,000) in the regression equation is the base price of a house when the square footage and number of bedrooms are zero. This is the starting point of the house price. Show more…

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Consider a dataset with house prices as the dependent variable and two independent variables: square footage and number of bedrooms. The regression equation is found to be: Price = 50,000 + 200(Square Footage) + 15,000(Number of Bedrooms). Interpret the coefficients in the context of house pricing.