Need some help studying for my Take a Test - Tyler Freeman - Google Chrome X mathxl.com/Student/PlayerTest.aspx?testld=216007077¢erwin=yes Math 96/160 Summer 2020 Tyler Freeman & |

Need some help studying for my

Take a Test - Tyler Freeman - Google Chrome X mathxl.com/Student/PlayerTest.aspx?testld=216007077&centerwin=yes Math 96/160 Summer 2020 Tyler Freeman & | 08/13/20 10:09 AM Test: Final Practice Exam Time Remaining: 02:20:18 Submit Test This Question: 8 pts 2 of 29 (0 complete) This Test: 200 pts possible An engineer wants to determine how the weight of a car, x, affects gas mileage, y. The following data represent the weights of various cars and their miles per gallon. Car A B C Weight (pounds), x 3065 3255 3720 4010 Miles per Gallon, y 31.5 30.6 24.8 25.4 22.7 (@) Find the least-squares regression line treating weight as the explanatory variable and miles per gallon as the response variable. Write the equation for the least-squares regression line. y = _x + 0 (Round the x coefficient to five decimal places as needed. Round the constant to one decimal place as needed.) (b) Interpret the slope and intercept, if appropriate. Choose the best interpretation for the slope. A. The slope indicates the mean change in miles per gallon for an increase of 1 pound in weight. O B. The slope indicates the mean weight. O C. The slope indicates the mean miles per gallon. O D. The slope indicates the ratio between the mean weight and the mean miles per gallon. O E. It is not appropriate to interpret the slope because it is not equal to zero. Choose the best interpretation for the y-intercept. O A. The y-intercept indicates the mean miles per gallon for a car that weighs 0 pounds. O B. The y-intercept indicates the mean miles for a car that weighs 0 pounds O C. The y-intercept indicates the miles per gallon of the lightest car in the population. Click to select your answer(s). ? Type here to search O 9 W 10:09 AM 8/13/2020 E