As an example, the data is X = 1,...,100. The value of Y is plotted on the Y axis. The red line is the linear regression surface. Personally, I don't find the independent/dependent variable …

Origin of 'regression' The term "regression" was coined by Francis Galton in the 19th century to describe a biological phenomenon. The phenomenon was that the heights of descendants of …

Dec 23, 2016 · In this example, variances for the first quarter of the data, up to about a fitted value of 40 are smaller than variances for fitted values larger than 40. The middle portion of the fitted …

Nov 4, 2016 · This answer does not assume a linear regression framework, nor does it rely on any approximations. First, let's define some terms: $$ Old=the\ original\ value\ (or\ variable) $$ $$ …

One of the observable ways it might differ from being equal is if it changes with the mean (estimated by fitted); another way is if it changes with some independent variable (though for …

To use it we perform both the fixed and random effects regression, and then apply the Hausman Test to see if their coefficient estimates diverge significantly. If they diverge, endogeneity is at …

$\begingroup$ @Brandon: This is standard model diagnostics and exploratory plotting skills. I would plot the residuals against one of the covariates I think might be a candidate for an …

It is easiest to think about interactions in terms of discrete variables. Perhaps you might have studied two-way ANOVAs, where we have two grouping variables (e.g. gender and age …

I am having some difficulty attempting to interpret an interaction between two categorical/dummy variables. For example, lets say there is an interaction term between an individual's gender …

An alternative way of adjusting/controlling for variables that is particularly useful when there are many of them is provided by regression analysis with multiple dependent variables, sometimes …