Search Results
| Search type | Search syntax |
|---|---|
| Tags | [tag] |
| Exact | "words here" |
| Author |
user:1234 user:me (yours) |
| Score |
score:3 (3+) score:0 (none) |
| Answers |
answers:3 (3+) answers:0 (none) isaccepted:yes hasaccepted:no inquestion:1234 |
| Views | views:250 |
| Code | code:"if (foo != bar)" |
| Sections |
title:apples body:"apples oranges" |
| URL | url:"*.example.com" |
| Saves | in:saves |
| Status |
closed:yes duplicate:no migrated:no wiki:no |
| Types |
is:question is:answer |
| Exclude |
-[tag] -apples |
| For more details on advanced search visit our help page | |
Results tagged with regression
Search options not deleted
user 229720
Techniques for analyzing the relationship between one (or more) "dependent" variables and "independent" variables.
1
vote
0
answers
62
views
How to estimate error of regression parameters from data with errors
I'm a physics student and in school we often measure some data (like voltage and current) and then use regression to determine an unknown quantity (ie. resistance in this case). … Via the weighted least squares regression we find the values of $a_j$ which are the "measurements" of $A_j$. How can one estimate the standard error of such measurement? …
- 123
1
vote
1
answer
186
views
Correct way to fit a line in 3D (x-position vs y-position vs other quantity)
If $(x,y,B)$ were an actual physical space, the correct way would be to do an Orthogonal Distance Regression of a line right away. … The second thing that came across my mind would be to do an ODR to find the line in $(x,y)$, then project all points on that line and do Linear Regression on $(B,d)$. …
- 123