# Question: Refer to the kinesiology data in Example 12 6 and the

Refer to the kinesiology data in Example 12.6 and the models fit to this data set in Exercises 12.23 and 12.24.

a. Predict the maximal oxygen uptake for a person having a weight of 150 kg, an age of 20 years, a time to walk 1 mile of 17 minutes, and a heart rate of 140 beats per minute using the fitted first- order model. Generate a 95% prediction interval for your prediction.

b. Predict the maximal oxygen uptake for a person having a weight of 150 kg, an age of 20 years, a time to walk 1 mile of 17 minutes, and a heart rate of 140 beats per minute using the fitted second- order model. Generate a 95% prediction interval for your prediction.

c. Predict the maximal oxygen uptake for a person having a weight of 150 kg, an age of 20 years, a time to walk 1 mile of 17 minutes, and a heart rate of 140 beats per minute using the fitted second- order model with cross- product terms. Generate a 95% prediction interval for your prediction.

d. Compare the widths of the three prediction intervals. Did the added complexity of models 2 and 3 provide a substantial reduction in the widths of the intervals?

a. Predict the maximal oxygen uptake for a person having a weight of 150 kg, an age of 20 years, a time to walk 1 mile of 17 minutes, and a heart rate of 140 beats per minute using the fitted first- order model. Generate a 95% prediction interval for your prediction.

b. Predict the maximal oxygen uptake for a person having a weight of 150 kg, an age of 20 years, a time to walk 1 mile of 17 minutes, and a heart rate of 140 beats per minute using the fitted second- order model. Generate a 95% prediction interval for your prediction.

c. Predict the maximal oxygen uptake for a person having a weight of 150 kg, an age of 20 years, a time to walk 1 mile of 17 minutes, and a heart rate of 140 beats per minute using the fitted second- order model with cross- product terms. Generate a 95% prediction interval for your prediction.

d. Compare the widths of the three prediction intervals. Did the added complexity of models 2 and 3 provide a substantial reduction in the widths of the intervals?

**View Solution:**## Answer to relevant Questions

A psychologist wants to evaluate three therapies for treating people with a gambling addiction. A study is designed to randomly select 25 patients at clinics using each of the three therapies. After the patients had ...Refer to Exercise 12.38 a. Write the estimated least-square quadratic line for the model without a crop difference. b. Write the estimated least-square quadratic line for the model for each of the three crops. c. Do the ...Refer to Exercise 12.11. Display the Y and X matrices for the following two prediction models: a. = 0 + 1 AGE + 2 Weight b. = 0 + 1 AGE + 2 Weight + 3 AGE2 + 4 Weight2 + 5 AGE? Weight In exercise Summarize the results of the F and t tests for the output of Exercise 12.51. In exercise Consider the outlier- deleted regression model of Exercise 12.59. a. Locate the F statistic. What null hypothesis is being tested? What can we conclude based on the F statistic? b. Locate the t statistic for each independent ...Post your question