Basic Analysis and Graphing - SAS

Chapter 6 Performing Contingency Analysis 193
Tests
Table 6.3 Description of the Contingency Table (Continued)
Col Cum%
Row Cum
Row Cum%
Cumulative column percentage.
Cumulative row total.
Cumulative row percentage.
Tests
The Tests report shows the results for two tests to determine whether the response level rates are the same
across X levels.
To produce the report shown in Figure 6.8, follow the instructions in “Example of Contingency Analysis”
on page 185.
Figure 6.8 Example of a Tests Report
Note the following about the Chi-square statistics:
• When both categorical variables are responses (Y variables), the Chi-square statistics test that they are
independent.
• You might have a Y variable with a fixed X variable. In this case, the Chi-square statistics test that the
distribution of the Y variable is the same across each X level.
Table 6.4 Description of the Tests Report
N
DF
-LogLike
Total number of observations.
Records the degrees of freedom associated with the test.
The degrees of freedom are equal to (c -1)(r - 1), where c is the number of columns
and r is the number of rows.
Negative log-likelihood, which measures fit and uncertainty (much like sums of
squares in continuous response situations).