Multivariate dependence techniques are variants of the ____,which is a way of modeling some process based on how different variables cause fluctuations from the average dependent variable.
A)ordinary linear model (OLM)
B)weighted average model (WAM)
C)general linear model (GLM)
D)metric scaling model (MSM)

Question

Quizplus · Accepted Answer

Multivariate dependence techniques are variants of the general linear model (GLM), which is a way of modeling some process based on how different variables cause fluctuations from the average dependent variable. GLMs can handle different types of dependent variables, such as continuous, binary, count, and categorical outcomes, and can include multiple explanatory variables. Therefore, GLMs are the best choice for modeling multivariate dependence. The other options, ordinary linear models, weighted average models, and metric scaling models, are either not sufficient for handling multivariate dependence or are obscure and not commonly used in statistical analysis.

Multivariate Dependence Techniques Are Variants of the ____,Which Is a Way