1)Given the following model with interaction effects for predicting cholesterol reduction (CR) as a function of medical...
Question:
1)Given the following model with interaction effects for predicting cholesterol reduction (CR) as a function of medical treatment (T), tobacco smoking (S) and age (Age):
CR = 0 + 12*T - 7*S - 5*(T*S) - 0.1*Age
Calculate how much less CR a smoker person who is treated would have compared to a non-smoker person with the same age who has also received treatment. T and S are dummy/binary variables that take a value of 1 when the person is treated or smoker, respectively.
2)
Given the following model for predicting cholesterol reduction (CR) as a function of medical treatment (T), exercise (E) and age (Age):
CR = 0 + 12*T + 10*E - 0.1*Age
Calculate how much more CR a person who is treated and exercises would have compared to a person of the same age who is not treated and does not exercise. T and E are dummy/binary variables that take a value of 1 when the person is treated or exercises, respectively.
Applied Regression Analysis and Other Multivariable Methods
ISBN: 978-1285051086
5th edition
Authors: David G. Kleinbaum, Lawrence L. Kupper, Azhar Nizam, Eli S. Rosenberg