Multiple Linear Regression (MLR)
Factor analysis is a technique that is used to reduce a large number of variables into fewer numbers of factors.
Factor analysis is a statistical method used to describe variability among observed, correlated variables in terms of a potentially lower number of unobserved, interpretable , uncorrelated variables called factors.
Factor analysis is part of general linear model (GLM), and just as well, it make several assumptions: there is linear relationship, there is no multicollinearity, it includes relevant variables into analysis, and there is true correlation between variables and factors. Several methods are available, but principle component analysis is used most commonly.
Multiple Linear Regression (MLR) Examples
Multiple Linear Regression (MLR) Function
Calculates the regression model analysis of variance (ANOVA) values.
This is the second entry in our regression analysis and modeling series. In this tutorial, we continue the ...
This is the third entry in our regression analysis and modeling series. In this tutorial, we continue the a...
This is the first entry in what will become an ongoing series on regression analysis and modeling. In this ...