A regression performed to predict the selling price of houses found the equation
Price = 169,328 + 35.3Area + 0.718 Lotsize - 6543Age
Where Price is in dollars, Area is in square feet, Lotsize is in square feet, and Age is in years. The R2 is 92%. One of the interpretations below is correct. Which is it? Explain what's wrong with the others.
a) Each year a house Ages it is worth $6543 less.
b) Every extra square foot of Area is associated with an additional $35.30 in average price, for houses with a given Lotsize and Age.
c) Every dollar in price means Lotsize increases 0.718 square feet.
d) This model fits 92% of the data points exactly.