Communication Resources Left:0:16:47 Young Joon Choi: Attempt 1 Question 38 (1 p

Question

Communication Resources Left:0:16:47 Young Joon Choi: Attempt 1 Question 38 (1 point) Use the following information to answer the question(s) below. A home appraisal company would like to develop a regression model that would predict the selling price of a house based on the age of the house in years (Age), the living area of the house in square feet (Living Area) and the number of bedrooms (Bedrooms). The following Excel output shows the partially completed regression output from a random sample of homes that have receritly sold. SUMMARY Multiple R R Square Adjusted R Square 6,00501 Age 380 6870 6 3282 ving Ares 278

Explanation / Answer

Looking at the coefficient table of the independent variables, we see that the coefficient of Living Area is + 87, which basically means that for an additional square foot of the house, there will be an increase in the average selling price by $87.

Therefore D is the correct answer here.

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