From d85c2073fd3283982f1a4b44fc2555341464f67f Mon Sep 17 00:00:00 2001 From: zleyyij Date: Wed, 3 Jan 2024 14:37:12 -0700 Subject: [PATCH] vault backup: 2024-01-03 14:37:12 --- .obsidian/plugins/obsidian-git/data.json | 2 +- education/statistics/Correlation and Regression.md | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/.obsidian/plugins/obsidian-git/data.json b/.obsidian/plugins/obsidian-git/data.json index 7b1247f..4bc189e 100644 --- a/.obsidian/plugins/obsidian-git/data.json +++ b/.obsidian/plugins/obsidian-git/data.json @@ -2,7 +2,7 @@ "commitMessage": "vault backup: {{date}}", "autoCommitMessage": "vault backup: {{date}}", "commitDateFormat": "YYYY-MM-DD HH:mm:ss", - "autoSaveInterval": 1, + "autoSaveInterval": 5, "autoPushInterval": 0, "autoPullInterval": 5, "autoPullOnBoot": false, diff --git a/education/statistics/Correlation and Regression.md b/education/statistics/Correlation and Regression.md index e480685..bdd446d 100644 --- a/education/statistics/Correlation and Regression.md +++ b/education/statistics/Correlation and Regression.md @@ -83,7 +83,7 @@ Given a scatter diagram where the average of each set lies on the point $(75, 70 ### The Regression Line/Least Squared Regression Line (LSRL) - This line has a more moderate slope than the SD line. it does not go through the peaks of the "football" - Predictions can only be made if the data displays a linear association (is a football shape). -- The regression line is *used to predict* the y variable when the x variable is given +- The regression line is *used to predict* the y variable when the x variable is given. It should only be relied on if it is a controlled experiment, observational studies have too many confounding factors. - In regression, the $x$ variable is the known variable, and $y$ is the value being solved for. - The regression line goes through the point of averages, and can be positive or negative $$ slope = r(\frac{\sigma_y}{\sigma_x}) $$