6. [l12 Points] 0/2 Submissions Used PRACTICE ANOTHER Suppose we are investigating the selling prices of homes in Athens, Georgia and some predictors for the selling price. For y = selling price in dollars and X = size of house in square feet, 9 = 9169 + 77.7x. (a) How much do you predict a house would sell for if it has (i) two thousand square feet? $ :] (whole number, no comma) (ii) three thousand square feet? $ C] (whole number, no comma) (b) Using results in (a), explain how to interpret the slope. O For each increase of 1000 square feet, the price of a home decreases by approximately $77,700. 0 For each increase of 1000 square feet, the predicted, or typical price of a home increases by $77,700. 0 For each increase of one square foot, the price of a home increases on average by $77,700. 0 For each increase of one square foot, the price of a home is expected to decrease by $77,700. (c) Is the correlation between these variables positive or negative? Why? ; As square feet increases, price tends to (d) One home that is three thousand square feet sold for $300,000. Find the residual. $ :] (whole number, no comma) 9. [-115 Points] 0/2 Submissions Used MYNOTES l PRACTICEANOTHER I The table shows a short excerpt from the \"car weight and mileage" data file on the text CD. That file lists several 2004 model cars with automatic transmission and their x = weight (in pounds) and y = mileage (miles per gallon of gas). The scatterplot is roughly linear and r = -0.78. The regression equation is 9 = 44.768 - 0.0045x. Automobile Brand Weight Mileage Honda Accord Sedan LX Toyota Corolla Dodge Dakota Club Cab Jeep Grand Cherokee Laredo Hummer H2 3155 2550 3816 3998 6394 36 36 21 22 19 (a) Find the predicted mileage and residual for a Hummer H2. A y 2 (2 decimal places) Residual = (2 decimal places) (b) Use this information in a sentence. The Hummer gets : miles/gallon --Select-- v than one would predict. (c) :l % (Enter a number between 0 and 100; 2 decimal places) of the variability in can be explained by