Question: is r squared always positive?
Answer: With linear regression with no constraints, R2 must be positive (or zero) and equals the square of the correlation coefficient, r. ... With nonlinear regression, the R2 can be negative whenever the best-fit model (given the chosen equation, and its constraints, if any) fits the data worse than a horizontal line.