Reference no: EM132464250
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 r= -0.985. The? least-squares regression line treating weight as the explanatory variable and miles per gallon as the response variable is y over bar
= -0.0061x + 41.3954
Car Weight-pounds (x) Miles per gallon (y) Car Weight Pounds (x) Miles per gallon (y)
Car 1 3,765 19 Car 7 2605 25
Car 2 3984 18 Car 8 3772 18
Car 3 3530 20 Car 9 3310 21
Car 4 3175 22 Car 10 2991 24
Car 5 2580 26 Car 11 2752 25
Car 6 3730 18
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____%(Round to one decimal place as? needed.)
Interpret the coefficient of determination __% of the variance in______is______by the linear model