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Techniques for analyzing the relationship between one (or more) "dependent" variables and "independent" variables.
0
votes
Convert odds ratio back to logit - logistic regression
To convert a logistic regression coefficient into an odds ratio, you exponentiate it:
exp(.3196606)
# 1.37666
To convert it back, you log it:
log(1.37666)
# 0.3196606 …
3
votes
0
answers
403
views
Is Omitted Variable Bias Always Bad? What are the implications of omitting variables from a ...
Say I'm using multiple logistic regression to help caterers in a large city predict the probability invited adults will come to a wedding. …
3
votes
1
answer
511
views
Including a quadratic effect for an ordinal variable in a regression analysis
| 2 | 4
30-60 minutes | 3 | 9
1-2 hours | 4 | 16
2 hours or more | 5 | 25
Would this be okay in a regression …
4
votes
0
answers
955
views
What are the benefits of the z-score interpretation of probit regression coefficients?
Many prefer logit simply because the coefficients can easily be converted into odds ratios, which are "more intuitive" to interpret than the z-score interpretation of probit regression analyses. … Does the latter have any merits over the odds ratios of the logistic regression, in terms of interpretation of the model? …