E This test: 52 point(s) Test: Test 7 Question 2 of 16 possible This question: 5 point(s) possible A regression analysis of 117 homes for sale produced the following model, where price is in thousands of dollars and size is in square feet. Price = 47.82 + 0.066(Size) a) Explain what the slope of the line says about housing prices and house size. b) What price would you predict for a 2500-square-foot house in this market? c) A real estate agent shows a potential buyer a 1200-square-foot house, saying that the asking price is $6500 less than what one would expect to pay for a What is the asking price, and what is the $6500 called? a) Explain what the slope of the line says about housing prices and house size. O A. For every additional square foot of area of a house, the price is predicted to increase by $0.066. O B. For every additional square foot of area of a house, the price is predicted to increase by $66 O C. For every $1000 increase in price of a house, the size is predicted to increase by 0.066 square feet. O D. For every $1 increase in price of a house, the size is predicted to increase by 66 square feet. b) What price would you predict for a 2500-square-foot house in this market? $ c) A real estate agent shows a potential buyer a 1200-square-foot house, saying that the asking price is $6500 less than what one would expect to pay for a h What is the asking price? What is the $6500 called? A. Residual Time Remaining: 00:23:49