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A real estate analyst has developed a multiple regression line, y = 60 + 0.068 x1...

A real estate analyst has developed a multiple regression line, y = 60 + 0.068 x1 – 2.5 x2, to predict the market price of a home (in $1,000s), using two independent variables, x1 = the total number of square feet of living space, and x2 = the age of the house in years. With this regression model, what is the predicted price of a 10-year old home with 2,500 square feet of living space?

Dependent / Response Variable

Independent Variable

Slope

Intercept

math   Statistics-And-Probability   
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Date D solution since given Regression line. Y E 60+.068X, + 2,54 - e dependent variable as market price - a Home x, total no

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