In a study of subscribers to two computing journals, a regression analysis was based on the data file to predict the value of the dependent variable TYPE (1 = major journal of the field, 0 = proceedings of national meeting) from the predictors ORGAN (professional organization affiliation), EDUC (degree held), INCOME (total household income), and INTEREST (research interests). The data file contained the values of these five variables for 225 individuals, and the partial chart in Figure 28.1 summarizes the results:
The partial printout in Table 28.8 corresponds to the full regression model:
a. Is the full model a “good” model from which to develop the regression equation? Why or why not?
b. Which predictors are significant in predicting TYPE? Which should be included in the final regression equation? Why?
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