According to research firm Messari's linear regression analysis of the number of codes and market values submitted by Github over the past 90 days, the R-square is only 0.005, which means that the correlation between the two is extremely low. R square is the ratio of the sum of the squares of the regression to the sum of the squares of the total dispersion (between 0-1). Generally speaking, the larger the ratio is, the better the regression fit is, and the better the model fit of R-square over 0.8 is. Note: In the industry, how much project code is submitted is often used to measure the importance of a project's activity. It is also what investors often say "whether the team is doing things."