Noun:

একাধিক সংশ্লেষণ,

multiple regression's Usage Examples:

In the more general multiple regression model, there are p {\displaystyle p} independent variables: y i =.

" Standardization of variables prior to multiple regression analysis is sometimes used as an aid to interpretation.

Applied multiple regression/correlation analysis for the behavioral sciences (3.

collinearity) is a phenomenon in which one predictor variable in a multiple regression model can be linearly predicted from the others with a substantial.

motivation for including other right-side variables in a multiple regression; but while multiple regression gives unbiased results for the effect size, it does.

This section contains an example of multiple regression with two covariates (explanatory variables): w and x.

This includes models equivalent to any form of multiple regression analysis, factor analysis, canonical correlation analysis, discriminant.

involving multivariate data, for example simple linear regression and multiple regression, are not usually considered to be special cases of multivariate statistics.

Like the multiple regression equation transform, grid-based methods use a low-order interpolation.

regression is a simplified and robust version (Wainer ' Thissen, 1976) of multiple regression analysis where only the intercept term is estimated.

One important advantage of CHAID over alternatives such as multiple regression is that it is non-parametric.

use of linear multiple regression analysis or causal modelling.

To quantify the effect of a moderating variable in multiple regression analyses, regressing.

quality that affect demand and apply statistical methods, variants on multiple regression.

sometimes called DeFries–Fulker extremes analysis, is a type of multiple regression analysis designed for estimating the magnitude of genetic and environmental.

The main mathematical approach used in these studies is multiple regression analysis.

Synonyms:

multiple correlation; multivariate analysis; multicollinearity;

Antonyms:

better; progress; gain; stay; typicality;