1: it’s not last, and 2: it’s not sad, because 3: people aren’t reading the source material. I love xkcd, too, but that doesn’t apply here.
Just because results don’t match expectations doesn’t mean we should throw pies of satire in their face. That’s like the response in the OP of ‘no’. This is actually interesting.
The data does not support the conclusion. A simple “no” is okay. Take a look at these examples of regression. See how any one of the conclusions is absurd? Mind you the data in that example is far less random!
How do you think a case of “this explains some of the differences in the population, but not a lot” should look?
And that looks potentially fine for an error bar. For a mean estimate, SE=SD/√N , so depending on what error band they used this looks quite plausible.
guess the correlation, looks about like a solid 0.1. Whoever put that regression line in there is crazy, the confidence interval is insulting.
Why does that fucking Thing require my Google account?
No idea, sorry.
Was about to say that. It’s sad that your comment is the very last in this thread.
1: it’s not last, and 2: it’s not sad, because 3: people aren’t reading the source material. I love xkcd, too, but that doesn’t apply here.
Just because results don’t match expectations doesn’t mean we should throw pies of satire in their face. That’s like the response in the OP of ‘no’. This is actually interesting.
The data does not support the conclusion. A simple “no” is okay. Take a look at these examples of regression. See how any one of the conclusions is absurd? Mind you the data in that example is far less random!
How do you think a case of “this explains some of the differences in the population, but not a lot” should look?
And that looks potentially fine for an error bar. For a mean estimate, SE=SD/√N , so depending on what error band they used this looks quite plausible.
Take a look at these examples of regression. See how any one of the conclusions is absurd? Mind you the data in that example is far less random!
Also, the R^2 is even in the picture: .11