Please find that attached question

Performing simple regression analysis with the the age of a car [in years} as the independent variable and the resale value of the car {in $) as the dependent variable, you come up with the following values... r = -o.27 r2 = 0.07 y = 14,233 - 414): Which would be the correct interpretation of the correlation coefficient? 0 Each additional year in a vehicle's age leads to a decrease of $414 in its resale value. 0 27% of the variability in resale value can be explained by the linear relationship between it's age and resale value. 0 There is a strong, negative linear relationship between a vehicle's age and its resale value. 0 There is a strong, positive linear relationship between a vehicle's age and its resale value. 0 There is a weak, negative linear relationship between a vehicle's age and its resale value. 0 There is a weak, positive linear relationship between a vehicle's age and its resale value. 0 7% of the variability in resale value can be explained by the linear relationship between it's age and resale value. 0 Each additional year in a vehicle's age leads to a decrease of $14,233 in its resale value