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Note on Logistic Regression - Statistical Significance of Beta Coefficients
This note complements Note on Logistic Regression, product #9B10E005 and Note on Logistic Regression - The Binomial Case, product #9B10E012. The focus of this note is to show how to calculate the associated p-values of the estimated beta coefficients using Microsoft Excel. It also illustrates the procedure based on the example from the Note on Logistic Regression - The Binomial Case. -
Note on Logistic Regression - Statistical Significance of Beta Coefficients
This note complements Note on Logistic Regression, product #9B10E005 and Note on Logistic Regression - The Binomial Case, product #9B10E012. The focus of this note is to show how to calculate the associated p-values of the estimated beta coefficients using Microsoft Excel. It also illustrates the procedure based on the example from the Note on Logistic Regression - The Binomial Case. -
Note on Logistic Regression - The Binomial Case
This note discusses logistic regression using binomial data. Also discussed is an explanation of how to estimate the parameters from logistic regression using Microsoft Excel (without any add-ins). The note is a follow up to Note on Logistic Regression, product #910E05, which discusses the case with Bernoulli data.