This pattern indicates that the variances of the residuals are unequal (nonconstant). Notice that, as the value of the fits increases, the scatter among the residuals widens. The variance of the residuals increases with the fitted values. Consider removing data values that are associated with abnormal, one-time events (special causes). Correct any data entry or measurement errors. ![]() You should try to identify the cause of any outlier. ![]() If there are too many outliers, the model may not be acceptable. One of the points is much larger than all of the other points. The following graphs show an outlier and a violation of the assumption that the variance of the residuals is constant.
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