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All right.
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In this video, we're going to be talking about linear regression equations and how to analyze all of the different parts of it in the context.
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And i couldn't really tell based on how the question was typed out, whether we were talking about these variables, a movie's budget and the u .s.
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Box office revenue from it, or these variables, imdb ratings and rotten tomatoes readings.
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So we're going to talk a little bit about each.
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If we have a lot of statistics on movies budget and the u .s.
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Box office revenue, we can plot all those points and make it into a scatter plot.
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And the correlation coefficient tells us basically how closely correlated each of these variables are.
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So if this was a perfect one, then that means a movie's budget can exactly predict the u .s.
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Box office revenue, that all of those points are exactly on kind of that line of best fit, if you imagine, a scatter plot and a line running through it.
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Like so, the closer these points are to the line, the closer this number is going to be to one, or negative one, if it was...