Viewing a single comment thread. View all comments

ankuprk OP t1_isj1zt4 wrote

It's a 'plot' of data, and fitting a 'line' is one way to interpret that data. If you fit a line to this data it will have lots of outliers, so line fitting is useless. Maybe you might be able to find some value in this post if you could appreciate that we plot data for pattern recognition, not for fitting a line.

0

ypis t1_isjcljr wrote

Ok let's be clear: generally an increase in GDP per capita does NOT result in a decrease in suicide rate.

You claim it does in your post title and your claim is wrong based on the very plot you present.

If I read this correctly, I seem to appreciate your plot more than you do yourself.

I'm not saying a linear regression of form y = kx+ b would be anyhow appropriate or correct as an explanatory model for the presented factors. Your very data again shows it would not be suitable for a multitude of reasons. But what a linear fit of the aforementioned form WOULD demonstrate together with some statistical measures is that your statement in the title is false.

You cannot save the issue with any other pattern recognition either. You can see that generally, your x axis does not work as a sufficient predictor of y axis, especially not in the sense you suggest. You need at least some additional factor/variable to build a model that reaches reasonable explanatory power for your y axis.

1