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1P Consider a multiple regression model predicting Calories 6.53+ 30.84 BMI + 90.14 Gender + 30.94 Age, where BMI is body mass index (- -), gender (0 for males and 1 for females). height weight Assume all variables are statistically significant at a 5% level. When interpreting the model, is true to say that, females intake, on average, 90.14 more calories than males, holding everything else constant. True O False

1P Consider a multiple regression model predicting Calories 6.53+ 30.84 BMI + 90.14 Gender + 30.94 Age, where BMI is body mass index (- -), gender (0 for males and 1 for females). height weight Assume all variables are statistically significant at a 5% level. When interpreting the model, is true to say that, females intake, on average, 90.14 more calories than males, holding everything else constant. True O False

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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Question 3 1 P Consider a multiple regression model predicting Calories = 6.53+ 30.84 BMI + 90.14 Gender + %3D 30.94 Age, where BMI is body mass index (werght -), gender (0 for males and 1 for females). height Assume all variables are statistically significant at a 5% level. When interpreting the model, is true to say that, females intake, on average, 90.14 more calories than males, holding everything else constant. True O False
Transcribed Image Text:Question 3 1 P Consider a multiple regression model predicting Calories = 6.53+ 30.84 BMI + 90.14 Gender + %3D 30.94 Age, where BMI is body mass index (werght -), gender (0 for males and 1 for females). height Assume all variables are statistically significant at a 5% level. When interpreting the model, is true to say that, females intake, on average, 90.14 more calories than males, holding everything else constant. True O False
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