Fig. 2From: Predicting cash holdings using supervised machine learning algorithmsPlots showing the regression assumptions for the model. Errors are approximately normally distributed (2.1). The mean of errors is approximately zero (2.2). This shows that homoscedasticity (errors almost have equal variances) holds (2.3). Outliers are negligible (2.4)Back to article page