Among the many sophisticated statistical methods we can use today, amplified by the availability of data and processing power, there is one relatively simple technique that should not be overlooked: the 'good and old' linear regression . I must admit, when I first applied regressions at work (almost 20 years ago...), I didn’t fully understand all the different concepts. But I did hear some "absolute truths" from someone: R² must be greater than 80% You need more than 80 data