plz use r-code to solve it, and show ur r-code thx

Q.1. For a manufacturing process, the dependent variable Y and 6 independent variables are all listed in a table (given in Excel file). For this dataset: 1.a. Plot the residuals against Y and against the model's regressors. What information do these plots provide? (10pts) 1.b. Create a residual's normal probability plot. Is there any reason to reject the model's normality assumption? If so, what transformation(s) would you suggest? (10pts) 1.c. Is there any evidence in the data that there is any outlying Y observations? (Based on the corresponding plots of studentized residual) (10pts) 1.d. Use Forward selection (AIC) and Stepwise method (AIC) for model selection and discuss the results. (10pts)Canc # Y X1 X2 X3 X4 X5 X6 5.2 19.6 29.6 94.9 2.1 2.3 8.3 5.2 19.8 32.4 89.7 2.1 1.8 8.5 5.8 19.6 31 96.2 2 2 8.8 6.4 19.4 32.4 95.6 2.2 2.1 9 5.8 18.6 28.6 86.5 2 1.8 6 9.3 5.2 18.8 30.6 84.5 2.1 2.1 9.3 5.6 20.4 32.4 88.8 2.2 1.9 9.5 6 19 32.6 85.7 2.1 1.9 9 9.8 5.2 20.8 32.2 93.6 2.3 2.1 10 10 5.8 19.9 31.8 86 2.1 1.8 11 10.3 6.4 18 32.6 87.1 2 1.6 12 10.5 6 20.6 33.4 93.1 2.1 2.1 13 10.8 6.2 20.2 31.8 83.4 2.2 2.1 14 11 6.2 20.2 32.4 94.5 2.1 1.9 15 11.3 6.2 19.2 31.4 83.4 1.9 1.8 16 11.5 5.6 17 33.2 85.2 2.1 2.1 17 11.8 6 19.8 35.4 84.1 2 1.8 18 12.3 5.8 18.8 34 86.9 2.1 1.8 19 12.5 5.6 18.6 34.2 83 1.9 2