vault backup: 2023-12-15 13:09:23
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@ -76,5 +76,11 @@ $$\pm \frac{\sigma_y}{\sigma_x}$$
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- It'll go through the middle of the "football"
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- It'll go through the middle of the "football"
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- $(ave_x, ave_y)$ is on the line
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- $(ave_x, ave_y)$ is on the line
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- Visually looks like a line of best fit
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- Visually looks like a line of best fit
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- The SD line is not used for prediction because it overpredicts
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- Someone who is *exactly on* the SD line is the same number of SDs above or below the average in the y axis as they are in the x axis.
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- Someone who is *exactly on* the SD line is the same number of SDs above or below the average in the y axis as they are in the x axis.
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Given a scatter diagram where the average of each set lies on the point $(75, 70)$, with a $\sigma_x$ of 10 and a $\sigma_y$ of 12, you can graph the SD line by going up $\sigma_y$ and right $\sigma_x$, then connecting that point (in this example, $(85, 82)$) with the mean points.
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Given a scatter diagram where the average of each set lies on the point $(75, 70)$, with a $\sigma_x$ of 10 and a $\sigma_y$ of 12, you can graph the SD line by going up $\sigma_y$ and right $\sigma_x$, then connecting that point (in this example, $(85, 82)$) with the mean points.
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### The Regression Line/Least Squared Regression Line (LSRL)
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- This line has a more moderate slope than the SD line. it does not go through the peaks of the "football"
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- The regression line is *used to predict* the y variable when the x variable is given
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- The rgre
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