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This left us with only those people who have observations for both variables (334 obs). A bivariate regression of qtmark against attl could then be constructed using the restricted data set. The result of this is Figure 2.1, which information on the regression including coefficient values and standard errors...
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Figure 2.1 results in the following regression.
qtmark = 53.95194 + 0.132357attl + e (2.1)
The intercept in 2.1 shows that the expected mark when an individual attends no lectures is 53.95. Interpreting the coefficient for attl leads us to believe that every additional lecture attended causes the expected mark in the statistics exam to increase by 0...
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