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Consider a multiple regression model predicting Calories = 6.53+ 30.84 BMI + 90.14 Gender + 30.94 Age, where BMI is body mass index (- weight
Consider a multiple regression model predicting Calories = 6.53+ 30.84 BMI + 90.14 Gender + 30.94 Age, where BMI is body mass index (- weight height2 ), gender (0 for males and 1 for females). 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
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