A developer who specializes in summer cottage properties is considering purchasing a large track of land adjoining a lake. The current owner of the tract has already subdivided the land into separate building lots and has prepared the lots by removing some of the trees. The developer wants to forecast the value of each lot. From previous experience, she knows that the most important factors affecting the price of a lot are size, number of mature trees, and distance to the lake. From a nearby area, she gathers the relevant data for 60 recently sold lots. Based on the following regression output, answer the following questions.
A) Based on the information above, what is the regression equation?
a. Yhat = 23.52 + .559x1 + .229x2 - 195x3
b. Yhat = 51.39 + .700x1 + .679x2 - .378x3
c. Yhat = 51.39 + .4924x1 + .2425x2 - .2019x3
d. Yhat = 40.24 + .4924x1 + .2425x2 - .2019 x3