Learning to Identify Outliers in Linear Regression Models Using the Bonferroni Test in R
The Essential Role of Outlier Detection in Regression Analysis It is fundamentally necessary in the field of statistical modeling to check for outlier observations when fitting a linear regression model. Outliers are defined as data points that are significantly distant from the bulk of other observations. Their presence poses a serious threat to model validity […]