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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. X Car Weight and MPG (a) Find the least-squares regression line treating weight as the explanatory variable and miles per gallon as the response variable. Weight Miles per y = _x +0 (pounds), x Gallon, y (Round the x coefficient to five decimal places as needed. Round the constant to two decimal places as needed.) 3784 16 3899 15 2788 25 3591 19 3367 20 2945 24 3775 17 2705 23 3475 19 3840 17 3366 18 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. a Click the icon to view the data table, (3) 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. Help me solve this \\ew an example Data for licensed drivers by age and gender. Number of Number of Male Fatal Licensed Drivers Crashes Age (0005) (Male) Number of Number of Female Fatal Licensed Drivers Crashes (0005) (Female) 74 4,803 2,022 12 77 2,113 1,523 2,780 2,742 2,285 1,514 938 965 Con Inue