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by njwi332
3721 days ago
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Actually a regression analysis is a great example of something people often use incorrectly. I have a degree in stats and someone at work who is self taught from a 'use the tools' perspective was trying to use these frameworks to analyse some log file patterns. When I had a look at it, his results were showing that they were statistically significant, but the data didn't look anything like a linear relationship and fitting it to a regression wasn't a valid move. That's a simplistic example but even in the relatively simple realm of linear regression there are more difficult traps to spot, like heterostedasticity or error normality. |
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But nothing you've said is complicated enough that in can't be explained through simple instructions or conquered through better tools. This is besides the fact that a little bias in the estimation isn't the end of the world if you're only trying to figure out who clicks ads, and not doing medical research.
Believe me, I run into the same issues as well, having to state "You can't do that..." when I watch co-workers try to apply even simple tests. I just think we draw the cut-off line at different skill-levels.