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A very good question you might be asking at this point is how to
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evaluate your linear regression.
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One of the obvious things that you can do is visualize the regression on top of
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your scatter points.
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Another thing you can do is you can look at the errors that your
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linear regression makes.
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By errors, I don't mean mistakes, not exactly.
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What I mean by errors is something like this.
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Suppose I have my age and net worth data.
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And it will be following along in some pattern, although not perfectly linear.
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I fit my line to it.
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And this fit is going to have associated errors.
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In this context, errors is a technical term and that's the difference in
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this example between the actual net worth of a particular person and
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the net worth that's predicted by our regression line.