This question should be answered using the biomass data set. library(tidymodels) data("biomass") a. Fit a multiple regression model to predict HHV using carbon, hydrogen and oxygen. b. Provide an interpretation of each coefficient in the model. Be careful, note the values Cruise is able to take. c. Write out the model in equation form. d. For which the predictors can you reject the null hypothesis H. : B; = 0? = e. On the basis of your response to the previous question, fit a smaller model that only uses the predictors for which there is evidence of association with the outcome. f. How well do the models in (a) and (e) fit the data? How big was the effect of removing the predictor? This question should be answered using the biomass data set. library(tidymodels) data("biomass") a. Fit a multiple regression model to predict HHV using carbon, hydrogen and oxygen. b. Provide an interpretation of each coefficient in the model. Be careful, note the values Cruise is able to take. c. Write out the model in equation form. d. For which the predictors can you reject the null hypothesis H. : B; = 0? = e. On the basis of your response to the previous question, fit a smaller model that only uses the predictors for which there is evidence of association with the outcome. f. How well do the models in (a) and (e) fit the data? How big was the effect of removing the predictor