Problem: Consider hw3problem l.csv. Fit the usual linear regression model and provide the 4 plots. Comment on what seems wrong.

Then perform Box-Cox-Transformation for \(\lambda\) ranging from \(-3\) to 3 and find the best value of \(\lambda\). For this \(\lambda\) fit the regression model provide the summary and the 4 plots.

Problem: Install the R-package "MPV" which contains datasets from your textbook.

Consider the table.bl 4 dataset which has 25 observations on the transient points of an electronic inverter. Please do variable selection by both forward and backward selection methods.

Problem: Consider problem 13.3 from your textbook. Fit the logistic and probit regression models. For each model estimate the probability of failing at \(x=300\) For logistic model, perform goodness of fit perform the two tests of hypothesis .... plot the deviance and pearson residuals, comment

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