How to USE language R to solve this problem ?

A chemical engineer studied the effect of the amount of surfactant and time on clanthrate formation. Clathrates are used as cool storage media. The dataset is Clathrate.tat. Here are the variables: y: Clathrate formation (mass 1: T1 Amount of surfactant (mass Time (minutes) a Fit a multiple linear regression model relating clathrate formation to these regressors (b) Test if the model you fit in part (a) is significant. What conclusions can you draw? (c) Use t tests to assess the contribution of each regressor to the model. Discuss your findings (d) What is the R2 for model? Compare it to the R2 for the simple linear regression model relating clathrate formation to time. Discuss your results (e) Find a 95% confidence interval for the regression coefficient for time for both models in part (d). Discuss any differences (f) Construct a normality plot of the residuals from the full model. Does there seem to be any problem with the normality assumption? (g) Construct and interpret a plot of the residuals versus the predicted response. h Find the values of the Cook's distance and construct the Cook's Distance plot