Timeline for In linear regression why does the response variable have to be continuous?
Current License: CC BY-SA 3.0
8 events
| when toggle format | what | by | license | comment | |
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| Mar 12, 2017 at 16:52 | history | edited | Haitao Du | CC BY-SA 3.0 |
added 52 characters in body
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| Mar 12, 2017 at 16:51 | comment | added | Haitao Du | @mark999 thanks for your comment, please check my edit. | |
| Mar 12, 2017 at 16:51 | comment | added | Haitao Du | @Repmat thanks for your comment, please check my edit. | |
| Mar 12, 2017 at 12:36 | comment | added | Repmat | The outcome can be discrete or contionues, this answer is plain wrong | |
| Mar 12, 2017 at 9:49 | comment | added | mark999 | I don't think this answer is correct. The response variable is not assumed to be a deterministic function of the explanatory variable(s), and there is no need to assume that the explanatory variable(s) is continuous. | |
| Mar 12, 2017 at 8:34 | comment | added | ilovestats | Can you also explain why the explanatory variable can be either continuous or discrete (as many publications say)? In your explanation you say (and it makes sense) that the independent variable x is continuous. | |
| Mar 12, 2017 at 8:13 | comment | added | ilovestats | Thank you, I understood your explanation. Most appreciated. | |
| Mar 12, 2017 at 4:06 | history | answered | Haitao Du | CC BY-SA 3.0 |