Question

**DROP DOWN OPTIONS FOR B: FEWER OR MORE
***DROP DOWN OPTIONS FOR C: MILEGE or WEIGHT // MILEGE or WEIGHT

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 = -0.87. The regression equation is ĝ = 47.905 - 0.0056x. = Automobile Brand Honda Accord Sedan LX Toyota Corolla Dodge Dakota Club Cab Jeep Grand Cherokee Laredo Hummer H2 Weight Mileage 3116 32 2620 38 3893 23 3981 19 6417 15 (a) Find the predicted mileage and residual for a Hummer H2. Û (2 decimal places) Residual = (2 decimal places) (b) Use this information in a sentence. The Hummer gets miles/gallon ---Select--- than one would predict. (c) % (Enter a number between 0 and 100; 2 decimal places) of the variability in ---Select--- can be explained by ---Select---

Answer 1

we have the regression model do poedict the mileage Y =47.905 - 0.0056 = ý = 47.905339-0.005619*7 (without rounding) from excel a). The poedicted mileage and residual for Hummer H2. The Hummer H2 weight is 6417 .; The predicted mileage for Hummen 7H2 is ŷ . 47.905839 -0.005619 * 6417 11-84982 Ý ت 11.85 Residual Actual value i 15-11:85 - 3:15) by wse bave comes The Hummer gets more files gallan. The Hummur get 11-85 miles/gallon. Fewer than one predict -- oß Hummur gets 15 miles/gallon more than one predict. we have 83 -0.87 le da -0.868761 R?- 0.7547 75.4770 75-4774 of variability in MILEGE can be explained by the WEIGHT