QUESTION

# I have always been fascinated with the criteria used by institutions to decide whether a student qualifies for a graduate program or not. In this situation, logistic regression can be applied to find

References

Das, U., Maiti, T., & Pradhan, V. (2010). Bias correction in logistic regression with missing categorical covariates. Journal Of Statistical Planning And Inference140(9), 2478-2485. http://dx.doi.org/10.1016/j.jspi.2010.02.018

Tamayo, A., & Cañizares, R. (2014). Predictors of Engineering Licensure Examination Using Logistic Regression. British Journal Of Education, Society & Behavioural Science4(12), 1621-1629. http://dx.doi.org/10.9734/bjesbs/2014/11343

This form of analysis has many flexible uses in research and so has become a popular tool for applied researchers in particular. In order to conduct this type of analysis we need to "dummy code" categorical variables by providing them with numerical values. Using 0 and 1 instead of 1 and 2 also creates an advantage as our slope estimate is easier to interpret. What specific statistics do we look to interpret when we conduct a logistic regression? Using this example, what would be some example statistics you would want to interpret?

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