By Sheridan J. Coakes
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Extra resources for Analysis Without Anguish: Version 12.0 For Windows
Standardized residuals, which are also known as Pearson residuals, have a mean of 0 and a standard deviation of 1. Studentized. The residual divided by an estimate of its standard deviation that varies from case to case, depending on the distance of each case’s values on the independent variables from the means of the independent variables. Deleted. The residual for a case when that case is excluded from the calculation of the regression coefficients. It is the difference between the value of the dependent variable and the adjusted predicted value.
Select Residual plots to produce an observed-by-predicted-by-standardized residuals plot for each dependent variable. These plots are useful for investigating the assumption of equal variance. Select Lack of fit test to check if the relationship between the dependent variable and the independent variables can be adequately described by the model. General estimable function allows you to construct custom hypothesis tests based on the general estimable function. Rows in any contrast coefficient matrix are linear combinations of the general estimable function.
155. Subject Groupings. The variables listed are those that you selected as subject variables in the Select Subjects/Repeated Variables dialog box. Choose some or all of these in order to define the subjects for the random-effects model.
Analysis Without Anguish: Version 12.0 For Windows by Sheridan J. Coakes