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Chapter 21
Those who drive less frequently show greater support for the bill than those who drive more frequently.
The coefficients for the variables gender and votelast, in addition to not being statistically significant, appear to be small compared to other coefficients.
The design effects indicate that some of the standard errors computed for these parameter estimates are larger than those you would obtain if you used a simple random sample, while others are smaller. It is vitally important to incorporate the sampling design information in your analysis because you might otherwise infer, for example, that the coefficient for the third level of Age category, [agecat=3], is significantly different from 0!
Classification
Figure
Categorical variable information
Given the observed data, the “null” model (that is, one without predictors) would classify all customers into the modal group, Agree. Thus, the null model would be correct 27.3% of the time.
