Question 9 Linear Regression: Consider the following data for a multiple regression model relating housing prices (in thousands of dollars) to the number of bedrooms in the house, the size of the lot and the size of the house in square feet.

You answer: Y= -21.77 + 13.85 Bedrooms + 0.002 Lot size + 0.1228 Square feet

The Statement that is not true according to the above regression equation is A since when you increase the bedroom by one the price does not increase by 9.01 but by 13.85

See below.

Y= -21.77 + 13.85 (1) + 0.002 Lot size + 0.1228 Square feet

Where y is the price

So, the Answer to which independent variable is most significant in this regression relationship has to be: the number of bedrooms correct?