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Calculating R-Squared

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Uploaded by on Nov 5, 2010

Calculating R-Squared to see how well a regression line fits data

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  • Take a drink every time he repeats himself!!!

  • @norwayte The 12% is unexplained. Real world examples are important here. Suppose x is height of a person and y is weight. Then 88% of the variation in weight can be explained by knowing someone's height. The other 12% is explained by either something else(diet, genetics, etc.), or just randomness (no real cause at all).

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  • why is it 41/42?? someone explainnnnnn

  • how do you do this automatically with excell?

  • SEline is just n*VAR(y). Correct?

  • When you compute SEline and SEy, I notice you assume that y is dependent on x. Right? Isnt this a fallacy, assuming a dependence in one direction, a causality as opposed to a correlation?

    My concern is that, apparently, we dont care about SEx - the squared error from the mean of x? Why is that?

  • @CogitoErgoCogitoSum Can r or r^2 act as a "standard deviation" of sorts for making such inferences?

  • With what degree of confidence/certainty can you interpolate a value/point? I mean to say, if I were to take a sample or a test, knowing what my x value will be, can I estimate with confidence where the y value might be?

  • Someone told me about the area equation. They mentioned Pi R Squared. This is incorrect. Pi R Round. Cake R Squared. Get it right, people!

  • @dalcde i miss math with numbers lol

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