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Contract length: Month-to-month, One Year, or Two years.Their type of Internet Service: None, DSL, or Fiber optic.We can see from the output that this is a numeric predictor variable because no level names are shown after a colon. In this example, the numbers are whole numbers from 0 through to 72 months. This is a numeric variable, which is to say that the data can in theory contain any number. How long somebody had been a customer, measured in the months ( Tenure).Note that in the output below we can only see Yes. This is a categorical variable with two levels: No and Yes. Whether or not somebody is a senior citizen.The five predictor variables (aka features) are: The second reason is that sometimes categorical predictors are represented by multiple coefficients. The estimate of the (Intercept) is unrelated to the number of predictors it is discussed again towards the end of the post. There are two different reasons why the number of predictors differs from the number of estimates. The goal of this post is to describe the meaning of the Estimate column.Īlthough the table contains eight rows, the estimates are from a model that contains five predictor variables. In R, SAS, and Displayr, the coefficients appear in the column called Estimate, in Stata the column is labeled as Coefficient, in SPSS it is called simply B. The output below was created in Displayr. No matter which software you use to perform the analysis you will get the same basic results, although the name of the column changes. The table below shows the main outputs from the logistic regression. It does so using a simple worked example looking at the predictors of whether or not customers of a telecommunications company canceled their subscriptions (whether they churned).
#How to do odds ratios with 4 groups on spss on mac how to#
This post describes how to interpret the coefficients, also known as parameter estimates, from logistic regression (aka binary logit and binary logistic regression).