Monthly Archives: June 2013

Least-Squares 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 linear-least squares regression. As … Continue reading

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Least-Squares 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 least-squares regression. Some background with respect to … Continue reading

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Least-Squares Background Part 3: Assessing the Effects of the X-Variables

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 Least-Squares 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 least-squares 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

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