Select the graphs for One-Way ANOVA (Graphs tab)

On the Graphs tab of the One-Way ANOVA dialog box, select from the following graphs to include in your output.
Confidence interval plot
Use an interval plot to assess and compare confidence intervals of the means of groups. An interval plot shows a 95% confidence interval for the mean of each group. An interval plot works best when the sample size is at least 20 per group. Usually, the larger the sample size, the smaller and more precise the confidence interval.
Individual value plot
Use an individual value plot to assess and compare sample data distributions. An individual value plot works best when the sample size is less than 50. Like a boxplot, an individual value plot helps you to identify possible outliers and visualize distribution shape. However, unlike a boxplot, an individual value plot displays each value separately. Separate values are especially useful when you have relatively few observations or when it is important to assess the effect of each observation.
Boxplot
Use a boxplot to assess and compare the shape, central tendency, and variability of sample distributions and to look for outliers. A boxplot works best when the sample size is at least 20. If the sample size is less than 20, consider using an individual value plot instead.
Residual plots

Select to display residual plots, including the residuals versus the fitted values, the residuals versus the order of the data, a normal plot of the residuals, and a histogram of the residuals. Use these plots to determine whether your model meets the assumptions of the analysis.

Residuals versus variables

Enter one or more variables to plot versus the residuals. Enter variables not in the model to determine whether they affect the response.

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