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Author Question: In a comprehensive road test on new car models, one variable measured is the time it takes a car to ... (Read 102 times)

maegan_martin

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on: Feb 14, 2020

Question 1

The data for n = 37 points were subjected to a simple linear regression with the results: and
a. Test whether the two variables, x and y, are positively linearly related. Use α = .05.
b. Construct and interpret a 90% confidence interval for β1.


Question 2

In a comprehensive road test on new car models, one variable measured is the time it takes a car to accelerate from 0 to 60 miles per hour. To model acceleration time, a regression analysis is conducted on a random sample of 129 new cars.

TIME60:y = Elapsed time (in seconds) from 0 mph to 60 mph
MAX:x = Maximum speed attained (miles per hour)

The simple linear model E(y) = β0 + β1x was fit to the data. Computer printouts for the analysis are given below:

NWEIGHTED LEAST SQUARES LINEAR REGRESSION OF TIME60







CASES INCLUDED 129   MISSING CASES 0

Fill in the blank: "At α =.05, there is ________________ between maximum speed and acceleration time."
◦ insufficient evidence of a linear relationship
◦ insufficient evidence of a negative linear relationship
◦ sufficient evidence of a positive linear relationship
◦ sufficient evidence of a negative linear relationship
Statistics ¦ McClave, Sincich, Tamarack ¦ 12th Edition
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Marked as best answer by maegan_martin on Feb 14, 2020

bhavsar

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Reply #1 on: Feb 14, 2020
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maegan_martin

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Reply 2 on: Feb 14, 2020
Wow, this really help

irishcancer18

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Reply 3 on: Yesterday
Great answer, keep it coming :)

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