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 - When is R squared negative? - Cross Validated
Also, for OLS regression, R^2 is the squared correlation between the predicted and the observed values. Hence, it must be non-negative. For simple OLS regression with one predictor, this is …
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 - What is wrong with extrapolation? - Cross Validated
Jun 19, 2016 · A regression model is often used for extrapolation, i.e. predicting the response to an input which lies outside of the range of the values of the predictor variable used to fit the …
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 - 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 - Treating two columns in R with shared factors with …
May 29, 2025 · Here's the R code to produce this result. It continues from the example provided in the question, relying on your preliminary work to give the two "Code" variables the same factor …
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 - Explain model adjustment, in plain English - Cross …
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 …