Question: In the Week 5 Lecture Notes we ran a correlation table and found the correlation between Age and Experience to be .98, which is extreme.

In the Week 5 Lecture Notes we ran a correlation table and found the correlation between Age and Experience to be .98, which is extreme. You cannot include both Age and Experience in the model. Given the model's intent, which would you include and why? What if there was a really high (>.8) correlation between Wage and Gender. Would that be a multicollinearity problem? What would that correlation mean

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