Logistic regression is preferrable over a simpler statistical test such as chi-squared test or Fisher’s exact test as it can incorporate more than one explanatory variable and deals with possible ...

Simple linear regression involves one exposure and one continuous outcome, and the relationship is modeled using a straight line. Multiple linear regression involves two or more exposures/covariates, ...

Multivariate regression is a very powerful form of data analysis and happens to be more accurate when applied to the real world. In the world of business, in particular, situations are rarely ever ...

Univariate and multivariate linear regression analyses were conducted to determine which variables were related and in which magnitude to PB regression. Baseline PB, baseline unstable core (%), ...

Instead, we apply a multivariate linear regression for the rough estimation of SF2. The radiosensitivity signature is based on the selection of markers that allow for satisfactory estimation. We also ...

Linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables by fitting a linear equation to observed data.

This paper describes a novel MIMO state-space identification algorithm that is based on multivariate linear regression rather than the usual subspace techniques such as orthogonal and oblique ...