Overview of the Analysis
To better understand the nature of the relationship among the five variables presented in Figure 14.7, the data are analyzed using two SAS procedures. First, PROC CORR will compute Pearson correlations between variables. This is useful for understanding the big picture: the simple bivariate relations among the variables.
Next, PROC REG is used to perform a multiple regression in which commitment is regressed on the four predictor variables simultaneously. This provides a number of important pieces of information. First, you will learn whether there is a significant relationship between commitment and the linear combination of predictors (i.e., whether there is a significant relationship between commitment and the four ...
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