Abstract:A major obstacle to the effective utilization of regression analysis in accounting practice and research is the presence of multi‐collinearity. This paper analyzes the impact of multicollinearity on ordinary least squares (OLS) estimation, and describes a recently developed estimation procedure, ridge regression analysis (RRA), that offers the possibility of improved coefficient estimation. An auditing example is provided comparing the results of OLS to those of RR