<prompt> Total cholesterol level a b calorie intake c physical activity d body mass index; is an example of -Simple linear regressionSimple curvilinear regressionMultiple linear regressionMultiple logistic regression  <response>: Ans. is c i.e., Multiple linear regression o 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. Note ? o Now you have read about both correlation and regression. Here I am explaining the difference between two in brief. o While correlation indicates the degree strength of association between two variables, regression does quantification of this relationship i.e. regression indicates the nature of the relationship Algebraically. o For example, Height to weight is an association :- i Strength of this association will be determined by correlation --- strong positive negative or weak positive negative. ii Quantification is done by regression -- by regression we might predicts the weight by measuring height. 