tudy was conducted on 64 female college athletes. The researcher collected data on a number of variables including percent body​ fat, total body​ weight, lean body​ mass, and age of athlete. The researcher wondered if total body weight​ (TBW), lean body mass​ (LBM), and/or age are significant predictors of​ % body fat. All conditions have been checked and are met and no transformations were needed. The partial technology output from the multiple regression analysis is given below. What percent of the total variation in​ % body fat is explained by the regression model with total body​ weight, lean body​ mass, and age as explanatory​ variables?

Big Ideas Math A Bridge To Success Algebra 1: Student Edition 2015
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ISBN:9781680331141
Author:HOUGHTON MIFFLIN HARCOURT
Publisher:HOUGHTON MIFFLIN HARCOURT
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study was conducted on 64 female college athletes. The researcher collected data on a number of variables including percent body​ fat, total body​ weight, lean body​ mass, and age of athlete. The researcher wondered if total body weight​ (TBW), lean body mass​ (LBM), and/or age are significant predictors of​ % body fat. All conditions have been checked and are met and no transformations were needed. The partial technology output from the multiple regression analysis is given below. What percent of the total variation in​ % body fat is explained by the regression model with total body​ weight, lean body​ mass, and age as explanatory​ variables?

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