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Background Part 1 – Least Squares Regression  Martin Cohen on Understanding Logistic Regression Output:
Background Part 1 – Least Squares Regression

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 What are ZValues in Logistic Regression?
 How Big a Sample? How Many XVariables?

Understanding Logistic Regression Coefficient Output:
Part 5 — Assessing Uncertainty 
Understanding Logistic Regression Coefficient Output:
Part 4 — Making Predictions  How to Solve the Logistic Regression Equation for the Probability p.
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Monthly Archives: June 2013
LeastSquares Background Part 5 — Assessing Uncertainty
In this Article, I discuss assessing the uncertainty of the regression coefficient estimates and will briefly touch on assessing the uncertainty of predictions. This article is the last part of a five part series reviewing regular linearleast squares regression. As … Continue reading
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LeastSquares Background Part 4 — Making Predictions
In this Article, I discuss another key use of the regression coefficients, namely to make predictions. This article is part 4 of a 5 part series briefly reviewing some aspects of regular linear leastsquares regression. Some background with respect to … Continue reading
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LeastSquares Background Part 3: Assessing the Effects of the XVariables
In this Article, I discuss the next use of the regression coefficients, namely to try to assess the impact of each of the variables. This article is the third part of a five part series providing a brief review of … Continue reading
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Background Part 2 — Uses of the LeastSquares Regression Coefficients and Determining Which Variables Matter
In this article, I am going to focus on the most important section of the regression output, namely the table of regression coefficients and the statistics that accompanies them. This article is part 2 of a 5 part series reviewing … Continue reading
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Understanding Logistic Regression Output:
Background Part 1 – Least Squares Regression
As I have indicated previously on this web site, I am going to use regular linear leastsquares regression as a starting point for explaining logistic regression. Thus, I will be assuming that you have some familiarity with regular linear regression. … Continue reading