The outlook comes as Ethereum attempts to reclaim recent highs, with the second-ranked crypto by market cap having reached a ...

Analysts debate XRP’s $200 target. Regression models show statistical potential, but on-chain data, whale moves, market maturity point to $3–$27 instead.

Logistic regression is a powerful statistical method that is used to model the probability that a set of explanatory (independent or predictor) variables predict data in an outcome (dependent or ...

The paper presents a new type of parametric transition rate model that is particularly suitable for studying household and union formation. In such studies, it is often not easy to determine the ...

As the title “Practical Regression” suggests, these notes are a guide to performing regression in practice. This note explains how to choose between log and linear specification. The note emphasizes ...

Nothing is set in stone with a regression model, but if the data you feed it is very good, the prediction will be good, too. What sort of data is required for machine learning regression?

Experience with biological data, such as dimensions of organisms, often confirms that logarithmic transformations should precede the testing of hypotheses about regression relations. However, ...