Refer to the table below, which was obtained using data from homes sold. The res

Question

Refer to the table below, which was obtained using data from homes sold. The response (y) variable is selling price (in dollars). The predictor (x) variables are LP (list price in dollars), LA (living area of the home in square feet), and LOT (lot size in acres). Refer to the table below, which was obtained using data from homes sold. The response (y) variable is selling price (in dollars). The predictor (x) variables are LP (list price in dollars), LA (living area of the home in square feet), and LOT (lot size in acres). Which regression equation is best for predicting the selling price? Why? Which regression equation is best for predicting the selling price?

Explanation / Answer

In model prediction we check the value of adjusted R-squared. Best model contains value closest to 1.

Thus D is the correct option

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