## regression.

A well-known problem with linear regression, binary logit, ordered logit, and other GLMs, is that a small number of rogue observations can cause the results…

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In this post I describe how to quickly create a quad map in Displayr. The example uses a Shapley Regression to work out the relative…

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Rather than just measuring one type of customer satisfaction, it's useful to measure these three aspects of customer satisfaction.

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This post describes how to interpret the coefficients, also known as parameter estimates, from logistic regression (a.k.a. binary logit). Read more.

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This is a practical guide to logistic regression. To get the most out of this post, I recommend you follow along with my instructions and…

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Logistic regression (also known as binary logistic regression) is a predictive modeling technique used to predict outcomes involving 2 options. Learn more.

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Logistic regression is a type of regression analysis used when the dependent variable is binary (i.e., has only two possible outcomes).

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For time-series data, you'll want to separate long-term trends and seasonal changes from random fluctuations. Find out which time smoother to use.

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The variance inflation factor (VIF) quantifies the extent of correlation between one predictor and the other predictors in a model.

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Although PLS and Johnson's Relative Weights are both techniques for dealing with correlations between predictors, they give fundamentally different results.

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Why is Multiple Linear Regression the standard technique taught for Key Driver Analysis when it gets it so wrong? The better method is Johnson’s Relative We

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Partial Least Squares (PLS) is a popular method for relative importance analysis in fields where the data typically includes more predictors than observations. Relative importance analysis…

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5 ways of presenting the results of key driver analysis techniques, such as Shapley Value, Kruskal Analysis, and Relative Weights.

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Shapley regression has been gaining popularity in recent years and has been (re-)invented multiple times. However, relative weights, should be used instead.

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