Total cholesterol level = a+b (calorie intake) + c (physical activity) + d (body mass index); is an example of :: (A) Simple linear regression, (B) Simple curvilinear regression, (C) Multiple linear regression, (D) Multiple logistic regression
Answer is C. The total cholesterol level in the given question is shown to depend on several (multiple) independent variables viz. calorie intake, physical activity and body mass index. It is thus an example of multiple regression. Also the relationship depicted in the equation is not logarithmic (log) but linear and hence multiple linear regression is the answer here. Ref: High Yield Biostatistics By Anthony Glaser, Page 49