Regarding the following statements, which of these answers is correct? (i) a and e; (ii) b, c, and d; (iii) a only; (iv) c and d; (v) b only: (a) The good thing about nonlinear regression is that we do not have to worry about the linearity of the intervariable relationships or any of the other assumptions of linear regression; (b) a disadvantage of nonlinear regression is that contrary to linear regression where the standard straight line regression model always applies, the specific nonlinear model being fitted by regression has to be provided; (c) the least squares solution for the nonlinear model (i.e., via minimization of the sum of the squares of the residuals) is not described as “ordinary” because only approximate rather than exact solutions for the coefficients are possible; (d) another disadvantage of nonlinear regression is that starting or initial values for the regression coefficients that are reasonably close to their true values have to be provided, failing which the final values, if any, computed by the regression may be incorrect; (e) nonlinear regression is not affected by outliers.