The learning objectives for this week are as follows: Perform model diagnostics for MLR to identify possible violations of model assumptions and utilize advanced regression models to deal with challenges such as non-constant variance, influential outliers, and multicollinearity; Implement bootstrapping methods to enhance the alignment of results with data that does not meet underlying assumptions. Problems 1-5 use the life expectancy dataset