A real estate agent wants to model the relationship between the saleprice of housing Y(in thousands of dollars) in a particular country town and the following two independent variables:

x₁= Government determined land value(in thousands of dollars)

x₂= Value of improvements on the property(in thousands of dollars)

The real estate agent randomly selected63 propertiesfrom the hundreds of properties that were sold in a particular year.Partial regression analysis output is shown below:

(a)Write down the multiple regression equation.

(b)Interpret the meaning of the coefficient of determination.

(c)Interpret the meaning of slope coefficients b₁and b₂

(d)Write down another potential independent variable that could be included in the analysis.

(e)Predict the sale price of a property that has a most recent valuation of $250000 and building improvements of $50000.

(f)Using anF test, test the overall model at the5% level of significance?

(g)Determine which regression coefficients are significant at the5% level of significance. Uset testsforeachcoefficient test.

can i please hav workinh out to help