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There are two plots in Figure 3.nine with helpful information and facts for evaluating the equivalent variance assumption. The “Residuals vs Fitted” panel in the highest still left panel shows the residuals ((e_ ij = y_ ij -widehat y _ ij )) within the y-axis as well as fitted values ((widehat y _ ij )) over the x-axis. This allows you to see I

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If either skew or crystal clear outliers are existing, by definition, the normality assumption is violated. But our assumption is regarding the distribution of all of the errors immediately after eliminating the variations in the signifies and so we wish an Total assessment procedure to know how affordable our assumption might be In general for our

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