what is the difference between a constrained and a linear model what is the difference in a model and a constraint? which is better linear or constrained what model is better what is the difference between a constrained model and a regular model average residual standard error in a linear model which model can be better what is the value of r2 how to determine the residual of an exponential model a nonlinear model with a standard error of more than 100 will be a much better solution than a model with a constrained model? why is $m_2$ used in an exponential model which model has a squared correlation with the observed values of $y? which model is better? what is the average residual standard error for an exponential model what is the standard error of the model in r$2 what is the standard deviation value for a variable in a linear model what is the difference between a constrained model and a constrained model does the eyeball fit better than the constrained model? why is $m_1 model so valuable how to find residual standard error of exponential model?