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Nov 24, 2019 at 13:27 answer added Peter Flom timeline score: 0
Nov 24, 2019 at 13:24 history reopened Peter Flom
Nov 23, 2019 at 23:16 comment added Sal Mangiafico The issue of there being correlation among your multiple independent variables (X1, X2, X3) is a separate issue from that of multiple testing. With either concern, it doesn't make either multiple regression or multiple simple regressions incorrect. It just requires some caution in interpretation.
Nov 23, 2019 at 18:25 review Reopen votes
Nov 24, 2019 at 13:24
Nov 23, 2019 at 18:08 history edited Saina CC BY-SA 4.0
reworded my question
Nov 22, 2019 at 23:19 history closed Michael R. Chernick
BruceET
Djib2011
Peter Flom
Needs details or clarity
Nov 22, 2019 at 23:19 comment added Peter Flom If you generate random noise data and do 10 hypothesis tests at p = 0.05, there will be far more than a 5% chance that at least one of the results will be siginficant.
Nov 22, 2019 at 7:18 comment added BruceET If you have $k = 5$ levels of the factor in a one-way ANOVA, you are correct that there are ${5 \choose 2} = 10$ possible comparisons among levels--provided the main F-test finds not all means equal. The 10th post hoc test is no more likely to be significant that the first, but if you do ten tests, each at the 5% level, you have more than a 5% chance of finding a difference somewhere among 10 tests.
Nov 22, 2019 at 2:00 review Close votes
Nov 22, 2019 at 23:19
Nov 22, 2019 at 1:35 review First posts
Nov 22, 2019 at 1:41
Nov 22, 2019 at 1:32 history asked Saina CC BY-SA 4.0