Given the following output from the LOGISTIC procedure:
Which variables, among those that are statistically significant at an alpha of 0.05, have the greatest and least relative importance on the fitted model?
I believe the greatest importance is usually tied to the variable with the highest odds ratio. I think it might be MBAL, but I need to double-check that.
I remember that we discussed how to identify the most significant variables in logistic regression, but I'm not sure if it's MBAL or DOWN_AMT that's the greatest.
I'm a bit confused by the output format. I'll need to make sure I understand how to interpret the results before I can confidently answer this question.
Okay, I see the p-values for each variable. I think I can use those to identify the statistically significant ones at the 0.05 level, and then compare the coefficient magnitudes to determine the relative importance.
Hmm, this looks like a tricky one. I'll need to carefully examine the output and think through the significance levels to determine the variables with the greatest and least relative importance.
The key here is to focus on the variables that are statistically significant at the 0.05 level. From there, I can compare the coefficient values to determine which has the greatest and least relative importance.
Hmm, I'm a bit unsure about this one. The options seem pretty similar, and I'm not entirely sure which one is the primary objective. I'll have to think it through carefully.
Anyone else feel like they're just playing a game of logistic regression Mad Libs here? Greatest, least, who cares! I'm just gonna put in random variables and see what happens. Shake things up, that's my motto!
Ha, this is a tough one! I'm gonna go with option D just to be different. Greatest is DOWN_AMT, least is HOME. Why not, right? Gotta keep the exam folks on their toes!
Hmm, I'm not so sure. The p-values for both MBA and DOWN_AMT seem pretty low, so they could both be significant. I'm leaning towards option B - greatest is MBA, least is CASH.
Levi
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