Why are regression problems called "regression" problems?
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 …
regression - What does it mean to regress a variable against …
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 …
correlation - What is the difference between linear regression on y ...
The insight that since Pearson's correlation is the same whether we do a regression of x against y, or y against x is a good one, we should get the same linear regression is a good one. It is …
regression - Trying to understand the fitted vs residual plot?
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 …
regression - Why do we say the outcome variable "is regressed …
Apr 15, 2016 · The word "regressed" is used instead of "dependent" because we want to emphasise that we are using a regression technique to represent this dependency between x …
regression - Interpreting the residuals vs. fitted values plot for ...
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 …
regression - Should $ R^2$ be calculated on training data or test …
May 26, 2018 · In some regression analysis there is no split in vs out of sample and "in sample = all data". Furthermore ...
What is the difference between fixed effect, random effect in …
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 …
regression - What is difference-in-differences? - Cross Validated
Feb 14, 2016 · The regression model will inherently converge on the correct lift attributable to treatment when conditioning on group assignment and post-start period statuses. $\endgroup$ …
regression - Why is it that natural log changes are percentage …
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: $$ Old=the\ original\ value\ (or\ variable) $$ $$ …