Respond to a colleague’s post who has selected a different value. Describe whether or not your colleague’s post swayed your point of view. Does your opinion change when on reporting in different contexts? Why or why not?
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Colleagues response
Based on previous outcomes of something that has occurred (odds ratio), logically, it gives you the conditional probability that it will continue to occur (Warner, 2013). This is based on a logistic regression. In other words, the regression tests you run to analyze data will yield results proving or disproving a hypothesis.
Whereas a binary logistic regression occurs when the Y variables are predicted from the X variables and do not need the assumptions (Warner, 2013). The goal is to analyze what the odds are of a given outcome. There are linear relationships between both variables as well. The variables have to be independent of each other. If you add to that assumption, the odds will either reinforce the probability or go against it.
Using a binary logistic regression means taking additional steps would be the best way to analyze the data collected. Because you want to show that everything is linked to each other in your study, it would mean taking the extra steps to prove that the hypothesis is valid and that the original idea is what it says it is, especially when a simple regression test would not work with multiple variables.
Reference
Warner, R. M. (2013). Applied statistics: From bivariate through multivariate techniques (2nd ed.). Thousand Oaks, CA: SAGE Publications
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