please solve using matlab 4. Nonlinear Regression Fit the below data with the following curve-fit equation y bi (ebr + 2 1.0000 1.5431 3.7622 10.0677 27.3082 Define a function of the sum of squar...
4. Nonlinear Regression Fit the below data with the following curve-fit equation y bi (ebr + 2 1.0000 1.5431 3.7622 10.0677 27.3082 Define a function of the sum of squared residuals (fSSR) as a function of the regression coefficients, b's. Minimize the fSSR function and determine the regression coefficients. Guess what would be the built-in math function to generate the original data? Plot the function in the existing figure with a smooth dashed line, calculate the coefficient of determination, and the standard error of estimate.
4. Nonlinear Regression Fit the below data with the following curve-fit equation y bi (ebr + 2 1.0000 1.5431 3.7622 10.0677 27.3082 Define a function of the sum of squared residuals (fSSR) as a function of the regression coefficients, b's. Minimize the fSSR function and determine the regression coefficients. Guess what would be the built-in math function to generate the original data? Plot the function in the existing figure with a smooth dashed line, calculate the coefficient of determination, and the standard error of estimate.