I need help with this homework problem I don't know how to do it nor do I know what SAS code to use.

Residential real estate prices depend, in part, on property size and number of bedrooms. The house size X1 (in hundreds of square feet), number of bedrooms X2, and house price Y (in thousands of dollars) of a random sample of houses in a certain county were observed. The data are listed in the following table (a = 0.05) 2 3 4 5 6 7 8 9 10 House price (Y) 105 80 95 104 107 110 175 85 89 98 House size (X1) 21.5 18 20 25 22.5 22 33 19 17 19 Bedroom 3.7 3 3 4 3.5 4 5 4 3 2 Number (X2) a) Determine the least-squares estimates for the model in which house price is regressed on both house size and number of bedrooms. Find the predicted average price of a 1,250-square-foot home that has two bedrooms. . b) Perform the overall F test for the regression of Y on both independent variables. Interpret your result. c) Perform two variables-added-in-order tests for both independent variables, with X2 added first, then X1 added first. Which predictors appear to be necessary? Why? . d) Determine r2Y|X1,X2, the squared multiple correlation between house price (Y) and the independent variables house size (X1) and number of bedrooms (X2). Interpret your result. . e) Determine rYX1|X2, the partial correlation of Y with X1 given X2 is in the model. Also determine r X2|X1, the partial correlation of Y with X2 given X1 is in the model. What is/are your conclusion (s)? f) Assume that no interaction occurs between house size (X1) and number of bedrooms (X2). Does number of bedrooms (X2) confound the relationship between house price ()) and house size (X1)? Why