A simple linear regression model was used to describe the relationship between concentration y (measured in the scores of a specially designed test) and the room temperature x (in °F). A random sample of 15 observations was used to produce the accompanying Minitab output. Calculate a 95% confidence interval for β, the average change in the test score associated with a 1 °F increase in room temperature, using the output. Round your answers to three decimal places.
A) (−0.008, 0.738)
B) (−0.413, 1.143)
C) (−0.423, 1.154)
D) (−0.013, 0.743)
E) (−0.024, 0.749)

Question

A simple linear regression model was used to describe the relationship between concentration y (measured in the scores of a specially designed test) and the room temperature x (in °F). A random sample of 15 observations was used to produce the accompanying Minitab output. Calculate a 95% confidence interval for β, the average change in the test score associated with a 1 °F increase in room temperature, using the output. Round your answers to three decimal places. ​  ​
A) (−0.008, 0.738) 
B) (−0.413, 1.143) 
C) (−0.423, 1.154) 
D) (−0.013, 0.743) 
E) (−0.024, 0.749)

Quizplus · Accepted Answer

The Answer of A simple linear regression model was used to describe the relationship between concentration y (measured in the scores of a specially designed test) and the room temperature x (in °F). A random sample of 15 observations was used to produce the accompanying Minitab output. Calculate a 95% confidence interval for β, the average change in the test score associated with a 1 °F increase in room temperature, using the output. Round your answers to three decimal places. ​  ​
A) (−0.008, 0.738) 
B) (−0.413, 1.143) 
C) (−0.423, 1.154) 
D) (−0.013, 0.743) 
E) (−0.024, 0.749)

A Simple Linear Regression Model Was Used to Describe the Relationship