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The least squares regression coefficients displayed in the regression tables in this report are expressed as percentages. Significant coefficients represent the observed differences that remain between the analysis group (such as those who delayed enrollment) and the comparison group (did not delay) after controlling for the relationships of all the selected independent variables. For example, in table 11, the least squares coefficient for those who delayed enrollment for one year is 6.80. This means that compared to those who did not delay enrollment, roughly 7 percent fewer of the group who delayed 1 year would be expected to attain a degree or be enrolled within 6 years of initial postsecondary enrollment, after controlling for the relationships among all the other independent variables. |
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Executive Summary |