R for Microsoft® Excel Users: Making the Transition for Statistical Analysis

5. Logistic Regression in Excel and R

In This Chapter

Problems with Linear Regression and Nominal Variables

From the Log Odds to the Probabilities

Deploying Solver

Statistical Tests in Logistic Regression

Logistic Regression with R’s mlogit Package

Using R’s glm Function

Chapter 4 includes a substantial amount of material on regression analysis of a particular sort: the assessment of the reliability of differences in the means of different groups. When that sort of question is at issue, it’s typical that you have a variable such as cholesterol level, measured on a numeric scale, that quantifies an outcome. You also have one or more variables, usually termed factors, under which you aggregate your measurements: men and women, for example, or ...