An engineer wants to determine how the weight of a gas powered car, x, affects gas mileage, y. The accompanying days represent the weights of various domestic cars and their miles per gallon in the city for the most recent model year. weight Miles per (pounds), x Gallon, y 3797 16 3897 16 2704 24 3608 20 3360 22 3040 22 3787 17 2618 24 3509 18 3798 16 3399 17 Interpret the slope y-intercept, if appropriate. Choose the correct answer below for y hat = -0.00661x + 41.80 Would it be reasonable to use the least squares regression line to predict the miles per gallon of a hybrid gas and electric car? Why or why not? Choose answer below a) No, because the hybrid is a different type of car. b) Yes, because the hybrid is partially powered by gas. c) No, because the absolute value of the correlation is less than the critical value for a sample size of n = 11. d) Yes, because the absolute value of the correlation coefficient is greater than the critical value for a sample size of n = 11.
An engineer wants to determine how the weight of a gas powered car, x, affects gas mileage, y. The accompanying days represent the weights of various domestic cars and their miles per gallon in the city for the most recent model year.
weight Miles per
(pounds), x Gallon, y
3797 16
3897 16
2704 24
3608 20
3360 22
3040 22
3787 17
2618 24
3509 18
3798 16
3399 17
Interpret the slope y-intercept, if appropriate. Choose the correct answer below for y hat = -0.00661x + 41.80
Would it be reasonable to use the least squares regression line to predict the miles per gallon of a hybrid gas and electric car? Why or why not? Choose answer below
a) No, because the hybrid is a different type of car.
b) Yes, because the hybrid is partially powered by gas.
c) No, because the absolute value of the
d) Yes, because the absolute value of the
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