In a linear regression plot, the straight line represents the best attempt to minimize the residual sum of squares between known or observed data points and the predicted data points.

We have discussed the basis of linear regression as fitting a straight line through a plot of data. However, there may be circumstances where the relationship between the variables is non-linear (i.e.

Linear regression can be used to analyze risk. For example, a health insurance company might conduct a linear regression plotting number of claims per customer against age and discover that older ...

In this module, we will introduce generalized linear models (GLMs) through the study of binomial data. In particular, we will motivate the need for GLMs; introduce the binomial regression model, ...

Sebastian Calonico, Matias D. Cattaneo, Rocío Titiunik, Optimal Data-Driven Regression Discontinuity Plots, Journal of the American Statistical Association, Vol. 110, No. 512 (December 2015), pp. 1753 ...

Twelve sediment cores from the lower Rappahannock estuary in Virginia were analyzed for boron concentration, clay-silt ratio, and percent organic carbon. Clay-silt ratios and percent organic carbon, ...