Timeline for Why is correlation not very useful when one of the variables is categorical?
Current License: CC BY-SA 3.0
13 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Nov 7, 2019 at 21:43 | comment | added | MSIS | @Taylor: What do we use when both variables are continuous/numerical but one of them is stochastic and the other one is not, e.g., hours studied vs GPA? | |
| Nov 3, 2017 at 23:28 | history | edited | kjetil b halvorsen♦ |
edited tags
|
|
| Jan 17, 2017 at 0:48 | vote | accept | Toof | ||
| Jan 16, 2017 at 2:59 | history | tweeted | twitter.com/StackStats/status/820827853168214016 | ||
| Jan 16, 2017 at 2:49 | comment | added | Silverfish | Closely related (perhaps even a duplicate?) - Correlation between a nominal (IV) and a continuous (DV) variable | |
| Jan 16, 2017 at 2:03 | answer | added | Alex R. | timeline score: 6 | |
| Jan 15, 2017 at 21:13 | comment | added | Tim | Simple reason, imagine that you ask people "what is your favorite color?" and they answer "red", "green", "blue", "orange", "yellow", ... , what is coded in your dataset as 1, 2, 3, ... Next, you calculate correlation coefficient between such variable with job satisfaction and get value 0.21. What does it mean? Could you provide any meaningful interpretation? | |
| Jan 15, 2017 at 20:43 | history | edited | Harvey Motulsky | CC BY-SA 3.0 |
rewrote title
|
| Jan 15, 2017 at 17:54 | comment | added | Taylor | Here are typed up lectures slides from a class I teach mostly dealing with population (not sample) correlation and covariance people.virginia.edu/~trb5me/3120_slides/5/5.2/5.2.pdf | |
| Jan 15, 2017 at 17:23 | answer | added | Stefan | timeline score: 18 | |
| Jan 15, 2017 at 13:49 | answer | added | Pere | timeline score: 9 | |
| Jan 15, 2017 at 13:37 | review | First posts | |||
| Jan 15, 2017 at 13:40 | |||||
| Jan 15, 2017 at 13:34 | history | asked | Toof | CC BY-SA 3.0 |