What does it means by R square (R2) value for regression linear in standard curve of protein assay?
The R^2 value (or the Pearson Coefficient of Determination) is an indicator of how well your data fits a line or curve. The closer the R^2 value is to 1 the better the data fits the curve. In other words, the closer the R^2 value is to 1 the more likely your data points are solutions to the equation that defines your curve. So if you have a line with the equation y=mx+b, the closer your R^2 value is to 1 the more likely that your data points x and y are actual solutions to the equation. This indicates how well your data fits the model you are testing.
