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Score: 0.13 of 1 pt 10 of 21 (9 complete) HW Score: 34.61%, 7.27 of 21 p yx 4.1.29 Question Help An engineer wanted to determine how the weight of a car affects gas mileage. (a) Determine which variable is the likely explanatory variable and which is the The following data represent the weight of various cars and their gas mileage. likely response variable. Complete parts (a) through (d). Weight Miles per O The explanatory variable is the miles per gallon and the response variable Car (pounds) Gallon is the weight. 2580 27 334 The explanatory variable is the weight and the response variable is the 21 miles per gallon. 3985 18 3175 22 (b) Draw a scatter diagram of the data. Choose the correct scatter plot. 3300 23 O A. B. Click the icon to view the critical values table. Weight (Ibs 4000 30 mog 15 30 2500 4000 mpg Weight (Ibs) OD 30- Weight (Ibs) 4000-. mps Q 15+ 2500 4000 C 2500 15 20 Weight (Ibs) meg (c) Compute the linear correlation coefficient between the weight of a car and its miles per gallon. (Round to three decimal places as needed.) i Data Table - X Critical Values for Correlation Coefficient n 3 0.997 4 0.950 5 0.878 6 0.811 7 0.754 8 0.707 9 0.666 10 0.632 11 0.602 12 0.576 13 0.553 14 0.532 15 0.514 16 0.497 17 0.482 18 0.468 19 0.456 20 0.444 21 0.433 22 0.423 23 0.413 24 0.404 25 0.396 26 0.388 27 0.381 28 0.374 29 0.367 30 0.361 Print Done