Timeline for interpreting the standard error of linear regression output
Current License: CC BY-SA 3.0
3 events
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| Jun 29, 2017 at 4:04 | comment | added | Sympa | Instead of Best fit, I would use the more relative expression Goodness-of-fit. Regression does minimize the sum of the square of the residuals. But, this does not mean there is not some remaining uncertainty about the derived regression coefficients. Those regression coefficients and their respective standard errors are all calculated and solved for using a closed form Matrix algebra algorithm. | |
| Jun 29, 2017 at 1:45 | comment | added | H2ONaCl | "Best fit" suggests there is one solution so why is there uncertainty associated with this regression coefficient? | |
| Jun 29, 2017 at 0:12 | history | answered | Sympa | CC BY-SA 3.0 |