search for: joaofilipemarques

...mance. But before doing that I want to make sure that original dataset doesn't have noise, collinearity to address, no major outliers so that I have to transform the data using techniques like Box-Cox and looking at VIF to eliminate highly correlated predictors. https://www.kaggle.com/datasets/joaofilipemarques/google-advanced-data-analytics-waze-user-data When I fit the original dataset into regression model with Minitab, I get attached result for residuals. It doesn't look normal. Does it mean there is high correlation or the dataset in have nonlinear response and predictors? How should I approach...