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A Multiple Regression Model Was Used to Predict the Percent 4.3994.399

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A multiple regression model was used to predict the percent body fat (Pct.BF) from Predictors (all in inches) : Height, Waist, and Chest.Which of the following statements is
NOT true.  A multiple regression model was used to predict the percent body fat (Pct.BF)  from Predictors (all in inches) : Height, Waist, and Chest.Which of the following statements is NOT true.    Residual standard error:  4.399  on 246 degrees of freedom Multiple R-squared:  0.7221 , Adjusted R-squared:  0.7187  A) By the rule of thumb, the model could make errors as much as 8.8% of body fat. B) The model explains 72.2% of the variation in the percent of body fat. C) There are 250 observations in this data set. D) The coefficient of Waist indicates that body fat increases about 2.2 % for every additional inch of Waist measured. E) All the above are true.

Residual standard error: 4.3994.399 on 246 degrees of freedom Multiple R-squared: 0.72210.7221 , Adjusted R-squared: 0.71870.7187


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