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Can you do multiple regression with multiple dependent variables?
Yes, this is possible and I have heard it termed as joint regression or multivariate regression. Regression analysis involving more than one independent variable and more than one dependent variable is indeed (also) called multivariate regression. This methodology is technically known as canonical correlation analysis.
Can we correlate two dependent variables?
Correlation describes the strength of an association between two variables, and is completely symmetrical, the correlation between A and B is the same as the correlation between B and A. If y represents the dependent variable and x the independent variable, this relationship is described as the regression of y on x.
Can a regression model support multiple target variables?
Multi Target Regression Machine Learning classifiers usually support a single target variable. In the case of regression models, the target is real valued, whereas in a classification model, the target is binary or multivalued. F o r classification models, a problem with multiple target variables is called multi-label classification.
What do you call problem with multiple target variables?
F o r classification models, a problem with multiple target variables is called multi-label classification. In the realm of regression models, as a beginner, I found the nomenclature a bit confusing.
Which is the best method to predict multiple dependent variables?
For example, if you have several different measures of the same construct (you could check this with a factor analysis), you can combine them. This can be done by turning them into z scores and averaging them. Knowledge of other sources of correlation (e.g., common cause or mediation) could also be utilized.
How are decision trees used in multi target regression?
Multi target regression (MTR) using Clustering and Decision trees. For the rest of the discussion, we shall focus on a single method, that is, decision trees and ensembles of decision trees for MTR. We need to first take a look at Predictive Clustering Trees (PCT), which is the foundation on which decision trees for MTR are built on.