Note: The Fit Group menu appears if you have specified multiple Y variables. Menu options allow you to arrange reports or order them by RSquare. See Fit Group Options the Standard Least Squares chapter in the Fitting Linear Models book for more information.
A two-way frequency table. There is a row for each factor level and a column for each response level. See Contingency Table.
Analogous to the Analysis of Variance table for continuous data. The tests show that the response level rates are the same across X levels. See Tests.
Set α level
Only appears if the response has exactly two levels. Compares response proportions for the X levels to the overall response proportion. See Analysis of Means for Proportions.
Shows which rows or columns of a frequency table have similar patterns of counts. In the correspondence analysis plot, there is a point for each row and for each column of the contingency table. See Correspondence Analysis.
Tests if there is a relationship between two categorical variables after blocking across a third classification. See Cochran-Mantel-Haenszel Test.
Only appears when both the X and Y variables have the same levels. Displays the Kappa statistic (Agresti 1990), its standard error, confidence interval, hypothesis test, and Bowker’s test of symmetry, also know as McNemar's test. See Agreement Statistic.
Calculates risk ratios. Appears only when both the X and Y variables have only two levels. See Relative Risk.
Appears only when there are exactly two levels for each variable. Produces a report of the odds ratio. For more information, see Odds Ratio Option.
The report also gives a confidence interval for this ratio. You can change the alpha level using the Set α Level option.
Performs a two-sample test for proportions. This test compares the proportions of the Y variable between the two levels of the X variable. Appears only when both the X and Y variables have only two levels. See Two Sample Test for Proportions.
Describes the association between the variables in the contingency table. See Measures of Association.
Tests for trends in binomial proportions across levels of a single variable. This test is appropriate only when one variable has two levels and the other variable is ordinal. See Cochran Armitage Trend Test.
Exact Test