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 …
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 - What is the correct formula to compute R-squared?
I'm completely confused about how to calculate R-squared for given lists of predicted and actual values. As an example, assume that my predicted values are: [3, 8, 10, 17, 24, 27] and my …
regression - How to test significance of Theil-Sen estimate? - Cross ...
May 3, 2024 · I have performed a Theil-Sen slope regression on the size (hectares) of Beech trees coverage in a given Swedish forest from 1986 to 2020. The development is set to be an …
regression - Using MLE vs. OLS - Cross Validated
Feb 16, 2014 · In nonlinear regression, when is MLE equivalent to least squares regression? Hot Network Questions
regression - how to interpret the interaction term in lm formula in …
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 …
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 - How to Perform Cross-Validation for LASSO in …
Apr 2, 2025 · I am working with a Generalized Additive Model for Location, Scale, and Shape (GAMLSS) and trying to determine the optimal $\lambda$ values for LASSO-penalized …
regression - What are bounded distributions? and can a bounded ...
Feb 3, 2024 · Further, OLS regression does not assume that the variables are normally distributed, it makes assumptions about the distribution of the errors. Still, if he assumption of …