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vault backup: 2023-12-20 14:07:33

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zleyyij 2023-12-20 14:07:33 -07:00
parent dd313a7f50
commit b6fbe1fd3a
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2
.obsidian/plugins/obsidian-git/data.json vendored
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@ -2,7 +2,7 @@
"commitMessage": "vault backup: {{date}}", "commitMessage": "vault backup: {{date}}",
"autoCommitMessage": "vault backup: {{date}}", "autoCommitMessage": "vault backup: {{date}}",
"commitDateFormat": "YYYY-MM-DD HH:mm:ss", "commitDateFormat": "YYYY-MM-DD HH:mm:ss",
"autoSaveInterval": 1, "autoSaveInterval": 5,
"autoPushInterval": 0, "autoPushInterval": 0,
"autoPullInterval": 5, "autoPullInterval": 5,
"autoPullOnBoot": false, "autoPullOnBoot": false,

3
education/statistics/Correlation and Regression.md
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@ -103,9 +103,10 @@ $$ \hat{y} = \frac{x-\bar{x}}{\sigma_x} * r * \sigma_y + \bar{y} $$
- In a test-retest situation, people with low scores tend to improve, and people with high scores tend to do worse. This means that individuals score closer to the average as they retest. - In a test-retest situation, people with low scores tend to improve, and people with high scores tend to do worse. This means that individuals score closer to the average as they retest.
- The regression *fallacy* is contributing this to something other than chance error. - The regression *fallacy* is contributing this to something other than chance error.
### R.M.S Error for Regression ### R.M.S Error for Regression
The distance of an individual point from the regression line. The distance of an individual point from the regression line. This only applies for a football shaped scatter diagram.
- If a point is below the line, the error is negative. - If a point is below the line, the error is negative.
- If a point is above the line, the error is positive. - If a point is above the line, the error is positive.
- "Give or take"
- `residual = observed - predicted` for a given $x$ value - `residual = observed - predicted` for a given $x$ value
- The r.m.s error is the r.m.s size of the errors - The r.m.s error is the r.m.s size of the errors
$$ \sqrt{1-r^2}(\sigma_y) $$ $$ \sqrt{1-r^2}(\sigma_y) $$