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A study was performed on 64 female college athletes. Researchers collected data on each female athlete's body weight (in pounds), height (in inches), lean body mass, age, and percent body fat. Researchers were interested in factors that may have an effect on female college athletes' percent body fat. The residual plot of the residuals versus predicted values is shown below. Residual Plot 18 20 predicted values Which of the following statements is true based on the residual plot. (Check all that apply.) 14 16 22 24 The residuals are normally distributed since they are randomly scattered around the plot (except for one point with a high predicted value). The residuals are not normally distributed since the spread in the residuals is not the same for all predicted values. The constant variation condition may not be met since the spread in the residuals is not the same for all predicted values. There is one outlier with an unusually high predicted value. Because there is no curvature in the residual plot, the linearity condition is satisfied.

A study was performed on 64 female college athletes. Researchers collected data on each female athlete's body weight (in pounds), height (in inches), lean body mass, age, and percent body fat. Researchers were interested in factors that may have an effect on female college athletes' percent body fat. The residual plot of the residuals versus predicted values is shown below. Residual Plot 18 20 predicted values Which of the following statements is true based on the residual plot. (Check all that apply.) 14 16 22 24 The residuals are normally distributed since they are randomly scattered around the plot (except for one point with a high predicted value). The residuals are not normally distributed since the spread in the residuals is not the same for all predicted values. The constant variation condition may not be met since the spread in the residuals is not the same for all predicted values. There is one outlier with an unusually high predicted value. Because there is no curvature in the residual plot, the linearity condition is satisfied.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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A study was performed on 64 female college athletes. Researchers collected data on each female athlete's body weight (in pounds), height (in inches), lean body mass, age, and percent body fat. Researchers were interested in factors that may have an effect on female college athletes' percent body fat. The residual plot of the residuals versus predicted values is shown below. Residual Plot 5 residuals 0 -5 14 16 22 18 20 predicted values Which of the following statements is true based on the residual plot. (Check all that apply.) 24 The residuals are normally distributed since they are randomly scattered around the plot (except for one point with a high predicted value). The residuals are not normally distributed since the spread in the residuals is not the same for all predicted values. The constant variation condition may not be met since the spread in the residuals is not the same for all predicted values. There is one outlier with an unusually high predicted value. Because there is no curvature in the residual plot, the linearity condition is satisfied.
Transcribed Image Text:A study was performed on 64 female college athletes. Researchers collected data on each female athlete's body weight (in pounds), height (in inches), lean body mass, age, and percent body fat. Researchers were interested in factors that may have an effect on female college athletes' percent body fat. The residual plot of the residuals versus predicted values is shown below. Residual Plot 5 residuals 0 -5 14 16 22 18 20 predicted values Which of the following statements is true based on the residual plot. (Check all that apply.) 24 The residuals are normally distributed since they are randomly scattered around the plot (except for one point with a high predicted value). The residuals are not normally distributed since the spread in the residuals is not the same for all predicted values. The constant variation condition may not be met since the spread in the residuals is not the same for all predicted values. There is one outlier with an unusually high predicted value. Because there is no curvature in the residual plot, the linearity condition is satisfied.
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