Timeline for What is the correct way to test for significant differences between coefficients?
Current License: CC BY-SA 3.0
4 events
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| Mar 9, 2018 at 21:10 | comment | added | bobmcpop | @matt-blackwell is this conceptually the same as stratifying the model by each value of g? (ie. b would be the coefficient of x when g=0, and beta+delta when g=1) Although I appreciate that stratifying does not allow statistical comparison. | |
| Nov 15, 2013 at 22:43 | comment | added | miura | If one wanted to test whether an effect is different between more than two groups, would an ANOVA comparing the model $y_i = \alpha + \beta x_i + \gamma g_i + \varepsilon_i$ and the one shown in this answer, $y_i = \alpha + \beta x_i + \gamma g_i + \delta (x_i \times g_i) + \varepsilon_i$ be appropriate? | |
| Jul 15, 2011 at 19:02 | comment | added | cashoes | Thanks for correcting the model (I believe my version above simply enforces that the intercept be the same in both groups...). More to the point, would this then be equivalent to the z-test I posted above? | |
| Jul 15, 2011 at 18:46 | history | answered | Matt Blackwell | CC BY-SA 3.0 |