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Unformatted text preview: Does age appear to account for some of the unexplained variability in weight? No there is no clear trend in the plot of residuals vs. age. Page 2 of 2 6. Predicted weight for an individual who is 175 cm tall: 73.1 kg 99% prediction interval for this prediction: (49.0 kg, 97.2 kg) 7. Compare the model that used height (in cm) to predict weight (in kg) with the model that used height in inches to predict weight in pounds by filling in the following table. Predictor Response Estimated slope t-statistic p-value R 2 Height (in cm) Weight (in kg) 1.018 23.14 <.0001 0.515 Height2 (in inches) Weight2 (in pounds) 5.686 23.14 <.0001 0.515 8. Changing the units in which the predictor and response are measured changes the slope by the equivalent amount. However, the standard errors also change by the same amount, so the t-statistic and R-squared are unaffected. 9. a: TRUE, b: FALSE, c: FALSE, d: FALSE 10. a. TRUE, b: FALSE, c: TRUE, d: FALSE...
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This note was uploaded on 10/22/2009 for the course ST 512 taught by Professor Dickey during the Spring '07 term at N.C. State.
- Spring '07