I would start with a correlation analysis, and a scatterplot matrix of the 3 variables. Principal Components is another tool that would work here.
Regression is only appropriate if you have one or more dependent variables (also called "response" variables) and one or more independent variables (also called "predictor" variables). It's not clear to me that any of your variables is a dependent variable.
I would start with a correlation analysis, and a scatterplot matrix of the 3 variables. Principal Components is another tool that would work here.
Regression is only appropriate if you have one or more dependent variables (also called "response" variables) and one or more independent variables (also called "predictor" variables). It's not clear to me that any of your variables is a dependent variable.
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