9. A regression between foot length (response variable in cm) and height (explanatory variable in inches) for 33 students resulted in the following regression equation: foot length = 10.9+0.23- height One student in the sample was 73 inches tall with a foot length of 29 cm. What is the residual for this student? (а) 0 ст (b) 1.31 cm (c) 27.69 cm (d) 29 cm

In the above regression of air quality on other variables in question 2, R-squared is 0.3829. How do you interpret it?

A man measures his heart rate before using a treadmill and then after walking ona treadmill for 10 minutes on 7 separate days. His mean heart rate at baseline and10 minutes after treadmill walking is 85 and 93 beats per minute (bpm), respectively. The mean change from baseline to 10 minutes is 8 bpm with a standarddeviation of 6 bpm.(a)  What test can we use to compare pre- and post-treadmill heart rate?(b)  Implement the test in 2a, and report a two-tailedp-value.(c)  Provide a 90% confidence interval (CI) for the mean change in heart rate afterusing the treadmill for 10 minutes.(d)  What is your overall conclusion concerning the data?   this is a review question of ch8 bernard rosner. the solution is not provided at bartleby for this review question

In a sample of cars reviewed by Motor Trend magazine, the mean horsepower (hp) was 150 hp with a standard deviation of 36 hp. The mean weight (lbs) was 2500 lbs with a standard deviation of 720 lbs. Assume the relationship between weight and horsepower is linear and has a correlation of r = +0.55. What is the slope of the linear regression model predicting weight (y-variable) from horsepower (x-variable)? 9 13 15 11