question 23. PLEASE SEND ME A PICTURE OF YOUR RESPONSE.

{I The accompanying data represent the weights of various domestic cars and their gas mileages in the city. The linear correlation coefcient between the weight of a car and its mites per gallon in the city is r: 0.981. The leastsquares regression line treating weight as the explanatory variable and miles per gallon as the response variable is 9: 0.0069x + 44.6335. Complete parts (a) and (b) below. a Click the icon to view the data table. (a) What proportion of the variability in miles per gallon is explained by the relation between weight of the car and miles per gallon? The proportion of the variability in miles per gallon explained by the relation between weight of the car and miles per gallon is D%. (Round to one decimal place as needed.) (b) Interpret the coefcient of determination. D% of the variance in E is by the linear model. 0 Data Tabte Full data set D, Weight Miles per , Weight Miles per ) Car (pounds), x Gallon, y Car (pounds), x Gallon, y ' Car 1 3,765 19 Car 7 '2,605 26 Car 2 3,984 18 Car 8 3,772 18 Car 3 3,530 20 Car 9 3,310 21 ' Car 4 3,175 22 , Car 10 2,991 25 Car 5 2,580 27 Car 11 2,752 26 Car 6 3,730 18 Print Done