A Medical Researcher Was Interested in Examining What Factors Influenced

Multiple Choice

A medical researcher was interested in examining what factors influenced patient's scores in a fitness test. He ran a multiple linear regression, which included four predictors ('hours spent taking part in physical activity per day', 'calories consumed per day', 'BMI', and 'hours spent sitting per day') . His model had a R² of .665, an adjusted R² of .661, an F-statistic of 112.56 (p 0.00) . How would you interpret his findings?

A) It is not a significant model.
B) It becomes difficult to assess the individual importance of predictors and it increases the standard errors of the b coefficients making them unreliable.
C) It is a significant model where the four predictors account for 112% of the variance in the patient's scores in the fitness test.
D) It is an significant model where the four predictors account for 0.661 of the variance in the patient's scores in the fitness test.