Basic MATLAB questions

Question 1 1 pts Which of the following methods can be applied to the solution of nonlinear systems of equations. LU Factorization O Newton-Raphson Iteration Gauss-Seidel iteration Successive Substitution Gaussian Elimination Jacobi iteration Question 3 1 pts Which of the following are statistics that indicate the quality of a curve fit? (Select all that apply) O Curve fit coefficients Standard deviation O Mean of the data Euclidean norm of the residuals with respect to the model O Coefficient of determination O Standard error of the estimate Question 4 1 pts You have performed a curve fit to a data set using nonlinear regression. The standard error of the curve fit is 0.5. Which is(are) accurate? f the following statements We can expect the model to predict the data to within +/-0.5 approximately 68% of the time. None of these are correct We can expect the model to predict the data to within +/-1.0 approximately 95% of the time This result means that the coefficient of determination is greater than 0.95. This result indicates a good fit. Question 5 1 pts Model coefficients in a nonlinear equation of the form can be determined using which of the following algorithms Simple linear regression Nonlinear regression O General linear least squares O Polynomial regression Linear regression using the linearized data and linearized model