An engineer wants to determine how the weight of a gas-powered car, x, affects gas mileage, y. The accompanying data represent the weights of various domestic cars and their miles per gallon in the city for the most recent model year. Complete parts (a) through (d) below. Click here to view the weight and gas mileage data. (a) Find the least-squares regression line treating weight as the explanatory variable and miles per gallon as the response variable. y = _ x +0 (Round the x co - X Car Weight and MPG' Weight Miles per (pounds), x Gallon, y 3690 18 3763 15 2792 25 3586 19 3321 22 2950 22 3799 18 2660 24 3546 20 3844 17 3341 18 Print Done View an example GE Clear all Check answerO Points: 0 of 1 Save K The accompanying data represent the number of days absent, x, and the final exam score, y, for a sample of college students in a general education course at a large state universi Complete parts (a) through (e) below. Click the icon to view the absence count and final exam score data. Click the icon to view a table of critical values for the correlation coefficient. . . . (a) Find the least-squares regression line treating number of absences as the explanatory variable and the final exam score as the response variable. y = x + (Round.to Absences and Final Exam Scores - X No. of absences, x 0 1 2 3 4 5 6 7 8 9 Final exam score, y 88.6 85.4 83.5 81.7 77.6 73.6 63.5 71.8 66.3 65.4 Print DoneThe data in the table represent the number of licensed drivers in various age groups and the number of fatal accidents within the age group by gender. Complete parts (a) through (c) below. Click the icon to view the data table. (a) Find the least-squares regression line for males treating the number of licensed drivers as the explanatory variable, x, and the number of fatal crashes, y, as the response variable. Repeat this procedure for females. X Data for licensed drivers by age and gender. Number of Number of Number of Male Fatal Number of Female Fatal Licensed Drivers Crashes Licensed Drivers Crashes Age (000s) (Male) (000s) (Female) 74 4,803 2,022. 5,375 968The data in the table represent the number of licensed drivers in various age groups and the number of fatal accidents within the age group by gender. Complete parts (a) through (c) below. Click the icon to view the data table. (a) Find the least-squares regression line for males treating the number of licensed drivers as the explanatory variable, x, and the number of fatal crashes, y, as the response variable. Repeat this procedure for females. - X Data for licensed drivers by age and gender. Number of Number of Number of Male Fatal Number of Female Fatal Licensed Drivers Crashes Licensed Drivers Crashes Age (000s) (Male) (000s) (Female) 74 4,803 2,022. 5,375 968