Question: Example 13. 4 gave data on x = treadmill run time to exhaustion and y = 20-km ski time for a sample of 11 biathletes.
Example 13. 4 gave data on x = treadmill run time to exhaustion and y = 20-km ski time for a sample of 11 biathletes. Use the accompanying Minitab output to answer the following questions.
a. Carry out a test at significance level .01 to decide whether the simple linear regression model is useful.
b. Estimate the average change in ski time associated with a 1-minute increase in treadmill time, and do so in a way that conveys information about the precision of estimation.
c. Minitab reported that sa1b1102 = .689. Predict ski time for a single biathlete whose treadmill time is 10 minutes, and do so in a way that conveys information about the precision of prediction.
d. Minitab also reported that
= 1.029. Why is this larger than
? x
Sa+h11)
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a 1 b slope of the population regression line relating 20km ski time to treadmill run time to exhaus... View full answer
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