The data in Table B.5 present the performance of a chemical process as a function of several controllable process variables. PLEASE CODE IN R.

a. Fit a multiple regression model relating CO2 product (y) to total solvent (x6) and hydrogen consumption (x7). b. Test for significance of regression. Calculate R2 and . c. Using t tests determine the contribution of x6 and x7 to the model. d. Construct 95% CIs on ?6 and ?7. e. Refit the model using only x6 as the regressor. Test for significance of regression and calculate R2 and . Discuss your findings. Based on these statistics, are you satisfied with this model? f. Construct a 95% CI on ?6 using the model you fit in part e. Compare the length of this CI to the length of the CI in part d. Does this tell you anything important about the contribution of x7 to the model? g. Compare the values of MSRes obtained for the two models you have fit (parts a and e). How did the MSRes change when you removed x7 from the model? Does this tell you anything importaut about the contributiou of x7 to the model?