The Most Commonly Used Method to Remedy Non-Normality or Heteroscedasticity $y ^ { \prime } = \log y ( \text { provided } y \geq 0 )$

The most commonly used method to remedy non-normality or heteroscedasticity in regression analysis is to transform the dependent variable. The most commonly used transformations are $y ^ { \prime } = \log y ( \text { provided } y \geq 0 )$ , $y ^ { \prime } = y ^ { 2 }$ , $y ^ { \prime } = \sqrt { y } ( \text { provided } y \geq 0 )$ , and $y ^ { \prime } = 1 / y$ .