The data in the table represent the fuel economy (mpg) for a car at different speeds (mph).
According to the least squares regression equation, what is the approximate fuel economy for this vehicle at 65 mph?
a) about 46 mpg
b) about 49 mpg
c) about 22 mpg
d) about 36 mpg

My graphing calculator computes the best match to a cubic function, which predicts mileage of about 39.7 mpg at 65 mph.

The second-best match is to a quadratic function, which predicts mileage of 29.8 mpg at 65 mph.

Linear regression predicts mileage of about 36.6 mpg at 65 mph.

It appears the best choice of those offered is (D) about 36 mpg.

Answer Link

The data in the table represent the fuel economy (mpg) for a car at different speeds (mph). According to the least squares regression equation, what is the approximate fuel economy for this vehicle at 65 mph? a) about 46 mpg b) about 49 mpg c) about 22 mpg d) about 36 mpg

Respuesta :

Otras preguntas

The data in the table represent the fuel economy (mpg) for a car at different speeds (mph).
According to the least squares regression equation, what is the approximate fuel economy for this vehicle at 65 mph?
a) about 46 mpg
b) about 49 mpg
c) about 22 mpg
d) about 36 mpg