Question: Que: A real estate analyst has developed a multiple regression line, y = 60 + 0.068 x 1- 2.5 x 2 , to predict y

Que: A real estate analyst has developed a multiple regression line,y= 60 + 0.068x1- 2.5x2,to predicty= the market price of a home (in $1,000s), using independent variables,x1= the total number of square feet of living space, andx2= the age of the house in years. The regression coefficient ofx1suggests this: __________.

option is............

The addition of 1 square foot area of living space results in a predicted increase of $0.068 in the price of the home if the age of the home were held constant

The addition of 1 square foot area of living space results in a predicted increase of $0.068 in the price of the home for homes of different ages

The addition of 1 square foot area of living space results in a predicted increase of $68.00 in the price of the home if the age of the home were held constant

The addition of 1 square foot area of living space results in a predicted increase of $68.00 in the price of the home with the age of the home allowed to vary

will you please explain to me

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