Now consider the fitted multiple linear regression model presented in Table 4. This model includes a binary indicator of statins use (a class of drugs used the lower cholesterol levels) and the interaction between this variable and BMIc. Note that the BMI variable has been centred its mean value of 28.6 kg/m (i.e. BMIc=BMI- 28.6). This makes the parameter estimate for statin use more interpretable. Using estimates from the fitted model, describe the association between BMI (using BMIc) and LDL among statin users and non-users. Is there evidence that statin use is an effect modifier for the association between BMI and LDL cholesterol? Table 3: Fitted multiple linear regression model from HERS study MODEL LDL = BMI age nonwhite smoking drinkany Parameter Estimates Parameter Standard Variable DF Estimate Error t Value Pr > t Intercept 147.3153 9.2564 15.91 0.000 BMI 0.3591 0.1341 age -0.1897 0.1131 -1.68 0.094 nonwhite 5.2194 2.3237 2.25 0.025 smoking 4.7507 2.2104 2.15 0.032 drinkany -2.7223 1.4989 -1.82 0.069