@Kossrifle Actually, if you are familiar with regression you will realize that the solver he has set up is minimizing the sum of the squared error (I.E. least squares), which is the essence of regression. The four numbers which the solver returns are the coefficients of the function which best fits his data points. Again though, one must be familiar with regression to realize this, I suggest studying the subject before making libelous comments and sounding incredibly uneducated.
for this you need the extension NLPSolver from openoffice
pip1980 1 year ago
Still haven't shown us anything about regression retard.
Kossrifle 1 year ago
@Kossrifle Actually, if you are familiar with regression you will realize that the solver he has set up is minimizing the sum of the squared error (I.E. least squares), which is the essence of regression. The four numbers which the solver returns are the coefficients of the function which best fits his data points. Again though, one must be familiar with regression to realize this, I suggest studying the subject before making libelous comments and sounding incredibly uneducated.
RiflemanPerkins 1 year ago