Using Total Taste Score as Y, and the rest of the columns as Xs, develop a regression model for the Total Taste Score as a function of the other variables presented in the rest of the columns using the Analyze>Fit Model procedure in JMP. Consider using Standard Least Squares or Stepwise. 5 POINTS c. Reduce the model to the most significant dependent variables, one variable at a time. You can use Standard Least Squares where you add or step one variable at a time into the model to see what is most significant and then reduce the model to only the most significant variables, removing insignificant variables from your final model. This requires you to Fit Model multiple times, one variable at a time. Alternatively, you can use Stepwise regression to find the most significant variables. Explain each of your choices as the most significant variables. 10 POINTS d. Explain all significant analysis as you did in question 1C above for your final model. 10 POINTS e. For your final model, capture, plot, and test for normality