An independent variable is an input to a process or analysis that influences the dependent variable. While there can only be one dependent variable in a study, there may be multiple independent ...

The first command means, "Store into an object named mymodel the results of a linear regression analysis using the data in the data frame table named myt, where Income is the dependent variable and ...

Analysis of variance uses qualitative independent variables only. Analysis of covariance uses quantitative variables in addition to the qualitative variables in order to account for correlation in the ...

Multivariate regression enables you to relate one dependent variable to multiple independent variables you've derived from surveys or measurements. This type of data analysis helps you search for ...

This article explains how to do regression in Excel, which is a way to automate the statistical process of comparing several sets of information to see how changes in independent variables affect ...

Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

ANALYSIS TOOLS: Sensitivity Analysis: Choose Independent Variable. This screen has four parts which allow you to choose and configure the independent variable: 1. Parameter Chooser: Choose the ...

Multivariable logistic regression: this, in contrast to simple logistic regression where only one explanatory variable is included, is when more than one explanatory variable is modeled and effects of ...

Multivariable analysis is a widely used statistical methodology for investigating associations amongst clinical variables. However, the problems of collinearity and multicollinearity, which can ...