A transformation in statistics refers to applying a mathematical function to the data points in order to change their distribution or shape. It is used to make the data meet the assumptions of a statistical model.
Related terms
Normality: Refers to the assumption of a normal distribution for the residuals in regression analysis.
Logarithm: A transformation that can be used when dealing with skewed or exponentially increasing data.
Square Root: Another transformation option for reducing skewness in the data.