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You are doing a regression with very dependant variables. It's a good instinct to worry about this! There are some good suggestions about how to deal with this in the answers to a similar question: Regression with multiple dependent variables?Regression with multiple dependent variables?.

Practically speaking, in your case, these variables are probably so dependant on each other that you should remove one unless you have reason to believe that they contain meaningfully different information. This is especially true since I imagine that you don't have very many data points to do the regression on.

You are doing a regression with very dependant variables. It's a good instinct to worry about this! There are some good suggestions about how to deal with this in the answers to a similar question: Regression with multiple dependent variables?.

Practically speaking, in your case, these variables are probably so dependant on each other that you should remove one unless you have reason to believe that they contain meaningfully different information. This is especially true since I imagine that you don't have very many data points to do the regression on.

You are doing a regression with very dependant variables. It's a good instinct to worry about this! There are some good suggestions about how to deal with this in the answers to a similar question: Regression with multiple dependent variables?.

Practically speaking, in your case, these variables are probably so dependant on each other that you should remove one unless you have reason to believe that they contain meaningfully different information. This is especially true since I imagine that you don't have very many data points to do the regression on.

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Lukas Biewald
Lukas Biewald
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You are doing a regression with very dependant variables. It's a good instinct to worry about this! There are some good suggestions about how to deal with this in the answers to a similar question: Regression with multiple dependent variables?.

Practically speaking, in your case, these variables are probably so dependant on each other that you should remove one unless you have reason to believe that they contain meaningfully different information. This is especially true since I imagine that you don't have very many data points to do the regression on.