Data Analytics, Machine Learning, Business Analytics, Regression Analysis, Knowledgebase Analytics.
evidence of heteroscedasticity # in the linear model, as the p-value of 0.6438 is well above 5%. # White's Test white_test <- bptest(residuals(linear_model) ~ fitted.values(linear_model) + I(fitted.values(linear_model)^2), data = mtcars) print(white_test) # output: BP = 4.9168, df = 2, p-value =