The accompanying data represent the weights of various domestic cars and their gas mileages in the city. the linear correlation coefficient between the weight of a car and its miles per gallon in the city is requalsnegative 0.984. the​ least-squares regression line treating weight as the explanatory variable and miles per gallon as the response variable is modifyingabove y with caret equals negative 0.0066 x plus 43.3954. complete parts ​(a) and ​(b) below. 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 nothing​%. ​(round to one decimal place as​ needed.)