Timeline for Assumptions behind simple linear regression model
Current License: CC BY-SA 3.0
4 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Jul 1, 2015 at 7:09 | vote | accept | Christina | ||
| Jul 1, 2015 at 0:26 | comment | added | TrynnaDoStat | The OLS estimator is the best unbiased, linear, estimator. That is, you can interpret it's value but, depending on how non-Normal the error terms are, I would caution against interpeting any p-values or confidence intervals associated with it. | |
| Jun 30, 2015 at 22:53 | comment | added | Christina | thank you for your answer. So using OLS estimator is robust under all assumptions? does OLS is only preferred in Gaussian hypothesis? | |
| Jun 30, 2015 at 15:41 | history | answered | TrynnaDoStat | CC BY-SA 3.0 |