1) The output of a logistic regression model, which shows the relationship between a passing or failing of business analytics class students on the final exam and students' attention to the recording lectures, turn in the assignment late, hours of studying each week, and their height is as follows.

Logistic regression Log likelihood = -66.947876 Number of obs = LR chi2(4) 144 65.73 Prob > chi2 = Pseudo R2 0.0000 0.3293 Pass Fail | Coef. Odds Ratio z P>|z| [95% Conf. Interval] Attention | .023589 late -.0443886 Studying | .2266635 1.023869 .9565821 1.254408 2.13 0.033 -3.15 0.002 4.25 0.000 .0018429 .045335 -.0719842 -.016793 .1220177 .3313093 Height | .2694518 1.309247 0.93 0.353 -.2992337 .8381373