Timeline for In linear regression why does the response variable have to be continuous?
Current License: CC BY-SA 4.0
5 events
| when toggle format | what | by | license | comment | |
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| Dec 6 at 15:18 | comment | added | whuber♦ | Welcome to CV, Brad. For descriptions of the various conventional meanings of "linear regression," please see stats.stackexchange.com/questions/148638 -- and notice that none of the answers refers to Normal distributions. | |
| Dec 6 at 15:03 | comment | added | Sextus Empiricus | BRAD ZAP you are applying a limited/specific type of linear regression model where the assumption about the error distribution is that it is normal distributed. $$Y_i \sim \mathcal{N}(\beta_0+\beta_1 x_i,\sigma^2)$$ That is not a general necessary assumption/property for something to be linear regression. | |
| Dec 6 at 14:50 | review | Late answers | |||
| Dec 6 at 15:43 | |||||
| S Dec 6 at 14:34 | review | First answers | |||
| Dec 6 at 15:43 | |||||
| S Dec 6 at 14:34 | history | answered | BRAD ZAP | CC BY-SA 4.0 |