Logistic regression values | RSCH 8260 – Advanced Quantitative Reasoning and Analysis | Walden University

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Logistic regression values | RSCH 8260 - Advanced Quantitative Reasoning and Analysis | Walden University

This week’s readings discuss conditional probabilities, conditional odds, logits, odds ratios, relative risk, and slopes. These can all be confusing terms but the good news is that all these values have some relationship to each other. Researchers have their own opinions on which values makes the most sense to report.

By Day 3

In a 2- to 3-paragraph post, construct a persuasive argument for the value (conditional probability, odds, odds ratio, etc.) that, intuitively, makes the most sense for you to report as a result to your audience. Be sure to provide a specific rationale for your choice.

RESOURCE

Warner, R. M. (2013). Applied statistics: From bivariate through multivariate techniques (2nd ed.). Thousand Oaks, CA: SAGE Publications.

Chapter 23, “Binary Logistic Regression” (pp. 1007–1050)

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