Please help!!

Perform a multiple regression analysis (with a margin of error of 5% ) that examines all of the variables in the sample (excluding variables: Y binary Gender and Category) as potential predictors of Y. Which of the following conclusions can be made based on the analysis without removing any of the predictor variables? TCH is a significant predictor in the model, Glucose is not: Age is a significant predictor in the model, Total Cholesterol is not. BMI is a significant predictor in the model, HDL is not. LDL is a significant predictor in the model, LTG is not. Perform model building by removing the non-significant predictors one at a time from the model described in Q11. Which one of the following conclusions is valid based on the obtained final model? Glucose is not a significant predictor, but BMI is Age is not a significant predictor, but HDL is LDL is not a significant predictor, but LTG is Total Cholesterol is not a significant predictor, but BP is How much of the variation in the dependent variable can be explained by the final regression model developed in Q12? We cannot determine this quantity based on the available information 70.1% 54.9% 49.3%