vault backup: 2023-12-15 13:04:23
This commit is contained in:
parent
6029c66b50
commit
bce8181dae
@ -73,5 +73,8 @@ https://www.thoughtco.com/how-to-calculate-the-correlation-coefficient-3126228
|
|||||||
- The $\sigma$ line will always always have a slope of:
|
- The $\sigma$ line will always always have a slope of:
|
||||||
$$\pm \frac{\sigma_y}{\sigma_x}$$
|
$$\pm \frac{\sigma_y}{\sigma_x}$$
|
||||||
- The SD line always passes through the averages for each axis.
|
- The SD line always passes through the averages for each axis.
|
||||||
- Someone who is *exactly on* the SD line is the same number of SDs above or below
|
- It'll go through the middle of the "football"
|
||||||
|
- $(ave_x, ave_y)$ is on the line
|
||||||
|
- Visually looks like a line of best fit
|
||||||
|
- 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.
|
||||||
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.
|
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.
|
Loading…
Reference in New Issue
Block a user