![]() ![]() ![]() As a consequence, different p-values and different benchmarks have to be overcome to be significant at 0.05. What do we make of that? Well, regression analysis (linear or logistic) is a complex technique, with different patterns of overlap when different sets of variables are in the equation. But there are major differences in the output.įirst, the Unique Local Content Not Available on a Local Newspaper Site has dropped out of the regression model. In step 5, there are still five variables, same as in the earlier multiple regression. (To brush up on stepwise regression, refer back to Chapter 10.) As we noted in discussing stepwise regression in Chapter 10, where it was first introduced, it is only the last step that really matters. You can see in the third (bottom) section that there were five steps. ![]() Let’s begin with the “Variables in the Equation” section at the bottom of the output. Stepwise (Forward: LR) regression output SPSS with.
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