I was just wondering why regression problems are called "regression" problems. What is the story behind the name? One definition for regression: "Relapse to a less perfect or developed state."

Dec 4, 2014 · When we say, to regress Y Y against X X, do we mean that X X is the independent variable and Y the dependent variable? i.e. Y = aX + b Y = a X + b.

Dec 23, 2016 · A good residual vs fitted plot has three characteristics: The residuals "bounce randomly" around the 0 line. This suggests that the assumption that the relationship is linear is …

Would you like to specifically know how R creates the design matrix for this formula, or are you more broadly interested in how to interpret such a multiplicative ("interaction") term in terms of …

What kind of regression models are used for positive, non-count data?) Is it better generally to predict (say) the percentage instead of the ratio, and if so, why?

Mar 21, 2024 · I have a question regarding the choice between interaction term and subgroup analysis. Suppose that I want to study the association between education and income by sex. I …

Feb 7, 2019 · I needed some help trying to understand why the sum of the observed values Yi Y i equals the sum of the estimated values Y^i Y ^ i.

Nov 27, 2021 · I am trying to better understand the motivations and the applications behind Propensity Score Matching. I read the following that explains the motivations behind …

Reading about methods and results of statistical analysis, especially in epidemiology, I very often hear about adjustment or controlling of the models. How would you explain, to a non …

Apr 15, 2016 · In its core, linear regression amounts to orthogonal projection of y y on (onto) X X, where y y is the n n -dimensional vector of observations of the dependent variable and X X is …