- 6 A Below Is Output From A Logistic Regression Model The Dependent Variable Was Whether Or Not The Person Attended Co 1 (56.97 KiB) Viewed 52 times
6(a). Below is output from a logistic regression model. The dependent variable was whether or not the person attended co
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6(a). Below is output from a logistic regression model. The dependent variable was whether or not the person attended co
6(a). Below is output from a logistic regression model. The dependent variable was whether or not the person attended college (1-Attended, 0=Not Attended). The explanatory variables are as follows: cardmon is monthly spending on a credit card; polcontrib is whether the person made a political contribution (Q-No. 1-Yes). Step 1 cardmon polcontrib Constant 010 118 -2.620 a. Variable(s) entered on step 1: cardmon, polcontrib Exp(Beta) B Variables in the Equation S.E. Wald 999 10 10 Total Prospects who Prospects became customers 10 9.481 969 6(b). Fill in the quantities in the table below. [7 Points] 003 120 081 1054.077 Provide an interpretation for both explanatory variables for the estimate of Beta and Exp(Beta). Don't be surprised if some of your answers are very similar. Your answer should include information on scale, direction & amount [12 points) Made a political contribution: made the a political contribution because Belai by .010. IF made a contribution log odds altended Beta College ↑ 0.118. Card spending: Not attended since the Beta, isyless than I which is. if spending + 1 then ing odds attended college t 0.010 Made a political contribution: made a political contribution because the Exp (Batalf by 1.010. If made a contribution ⇒ odds attended collage ↑ 1-126 df Which of the variables is statistically significant and why? Assume that alpha-5% and a 2-sided test (4 points) Beta, is statistically significant. 9 5 1 1 1 1 Cardmon bic 0.002 20.05 Card spending: Awended the college because the ExplBetai) ↑ by 1.010 If Spend 1⇒ odds attended college ↑ 1.010 Probability of Prospect becoming customer Sig 002 325 000 Exp(8) 1.010 1.126 073 Page 5 of 5 0.9 19011 11/11--4)=9 1 0.5 501- 0.1 Jol 0.1111 Odds of Prospect becoming customer Log of Odds of Prospect becoming Customer 0-9542 2-19 0 -0.9542 -2.19