The market price of a house (PRICE) can be predicted by its number of bedrooms (BDR), number of bathrooms (BATH), the size of the house (HSIZE), the size of the lot (LSIZE), and the average income in the area (INCOME). An OLS regression yields the following result: PRICE = 50+2 x BDR +5x BATH + 4x HSIZE + 3 x LSIZE+2.5 x INCOME, (4.56) (3.45)(1.35) (.345) (.545) (.35) where the numbers below the coefficients represent standard errors. (a) Determine which of the coefficient estimates are (individually) statistically different from zero at a 5% level. Answer