Akaike information criterion
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The Akaike information criterion is an estimator of prediction error and thereby relative quality of statistical models for a given set of data. Given a collection of models for the data, AIC estimate
Hirotugu Akaike
Linear regression
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In statistics, linear regression is a model that estimates the relationship between a scalar response and one or more explanatory variables. A model with exactly one explanatory variable is a simple l
Francis Galton's 1886 illustration of the correlation between the heights of adults and their parents. The observation that adult children's heights tended to deviate less from the mean height than their parents suggested the concept of "regression toward the mean", giving regression its name. The "locus of horizontal tangential points" passing through the leftmost and rightmost points on the ellipse (which is a level curve of the bivariate normal distribution estimated from the data) is the