The following computer output contains the results from fitting a simple linear regression model to predict the weight (in pounds) of a vehicle from its city mileage (in miles/gallon) based on a random sample of 25 cars. Predictor Constant Coef 6542.55029 City MPG -145.56921 SE Coef 332.09991 16.25832 T P 19.70 <0.0001 -8.95 <0.0001 Assuming the conditions for inference are satisfied, which of the following gives a 95 percent confidence interval for the true slope of the regression line based on this model? (A)-145.57 ±(1.96)(16.258) (B)-145.57 ±(2.069)(3.2516) (C) -145.57 ±(2.069)(16.258) (D) -145.57 ±(8.95)(3.2516) (E) 145.57(8.95)(16.258)

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The following computer output contains the results from fitting a simple linear regression model to
predict the weight (in pounds) of a vehicle from its city mileage (in miles/gallon) based on a random
sample of 25 cars.
Predictor
Constant
Coef
6542.55029
City MPG
-145.56921
SE Coef
332.09991
16.25832
T
P
19.70
<0.0001
-8.95
<0.0001
Assuming the conditions for inference are satisfied, which of the following gives a 95 percent
confidence interval for the true slope of the regression line based on this model?
(A)-145.57 ±(1.96)(16.258)
(B)-145.57 ±(2.069)(3.2516)
(C) -145.57 ±(2.069)(16.258)
(D) -145.57 ±(8.95)(3.2516)
(E) 145.57(8.95)(16.258)
Transcribed Image Text:The following computer output contains the results from fitting a simple linear regression model to predict the weight (in pounds) of a vehicle from its city mileage (in miles/gallon) based on a random sample of 25 cars. Predictor Constant Coef 6542.55029 City MPG -145.56921 SE Coef 332.09991 16.25832 T P 19.70 <0.0001 -8.95 <0.0001 Assuming the conditions for inference are satisfied, which of the following gives a 95 percent confidence interval for the true slope of the regression line based on this model? (A)-145.57 ±(1.96)(16.258) (B)-145.57 ±(2.069)(3.2516) (C) -145.57 ±(2.069)(16.258) (D) -145.57 ±(8.95)(3.2516) (E) 145.57(8.95)(16.258)
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