After the researchers complete their examination of various bivariate relationships, they want to assess a) whether prior dangerous events determine the risk of future danger beyond the risk assessment tool currently used, and b) whether various treatment programs help reduce danger. To do so, they undertake two multiple regressions. In the first, they utilize a logistic regression to assess the likelihood that a person commits any new dangerous event. The results produced by this procedure are displayed below: Logistic regression Log likelihood = -2411.8049 Any_NewDangerous Odds ratio Std. err. P>|z| [95% conf. interval] AssessedRisk 1.079817 .0085271 9.72 0.000 1.063233 1.09666 PriorDanger 1.410892 . 0427595 11.36 0.000 1.329526 1.497239 FamViol Education . 8171299 .0887713 -1.86 0.063 .660417 1.01103 Counseling 6731246 1172198 -2.27 0.023 .4784812 . 9469478 MHEval .8709396 2167689 -0.56 0.579 .5347265 1.418549 _cons .0435919 .0044959 -30.38 0.000 .0356137 .0533574 a. Which treatment programs reduce the likelihood of committing new Dangerous offenses, and by how much? b. Does prior danger help predict future danger, after controlling for assessed risk