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Oct 3, 2021 at 16:34 history edited Tim
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Sep 19, 2017 at 15:13 history edited Aksakal
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Sep 19, 2017 at 13:55 comment added Aksakal @Xi'an, in the fixed design the linear model assumptions are not conditioned on $X$, see my answer. So, it does matter a lot. That is the reason why experiments are so much easier to interpret than observational study results
Sep 19, 2017 at 13:51 answer added Aksakal timeline score: 16
Sep 19, 2017 at 12:59 history edited Tim
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Jan 14, 2017 at 23:48 vote accept l7ll7
Jan 14, 2017 at 23:25 vote accept l7ll7
Jan 14, 2017 at 23:26
Nov 22, 2016 at 17:30 history tweeted twitter.com/StackStats/status/801115680225587201
Nov 16, 2016 at 23:54 answer added whuber timeline score: 28
Nov 15, 2016 at 21:42 answer added gung - Reinstate Monica timeline score: 7
Nov 15, 2016 at 13:28 comment added Antoni Parellada Check this. Good question, BTW.
Nov 15, 2016 at 12:55 answer added Statsanalyst timeline score: 1
Nov 15, 2016 at 12:25 comment added Xi'an The linear model is conditional on $X$, hence whether or not it is random should not matter.
Nov 15, 2016 at 12:19 history asked l7ll7 CC BY-SA 3.0