All in MATLAB software and hand calculations

Problem 2 An experiment conducted to estimate the variation of air kinematic viscosity with temperature yielded the following results Temperature: Ti Viscocity: ?? (102 m2/sec) | 1.5 | 0.5 | 1 | 1.6 | 2.25 | 2.5 | 2.75 | 3.0 2 | 10 | 30 | 60 | 80 | 100 | 120 Fit the following model to the data: ? and estimate the value of u for T- 50 oC Include the following steps Formulate the linear regression problem with all major vectors/matrices Implement this problem in MATLAB to find the optimal model parameters. Present your code and report their values Provide a plot of the test data (points not connected with line) vs. the model (using the calculated model parameters and a denser grid for x) Use the calibrated model to provide a prediction of the metabolism rate for the a 200-kg tiger Assess the quality of calibration using the RMS relative error and the coefficient of determination. In your opinion, does the model fit the data well? Problem 2 An experiment conducted to estimate the variation of air kinematic viscosity with temperature yielded the following results Temperature: Ti Viscocity: ?? (102 m2/sec) | 1.5 | 0.5 | 1 | 1.6 | 2.25 | 2.5 | 2.75 | 3.0 2 | 10 | 30 | 60 | 80 | 100 | 120 Fit the following model to the data: ? and estimate the value of u for T- 50 oC Include the following steps Formulate the linear regression problem with all major vectors/matrices Implement this problem in MATLAB to find the optimal model parameters. Present your code and report their values Provide a plot of the test data (points not connected with line) vs. the model (using the calculated model parameters and a denser grid for x) Use the calibrated model to provide a prediction of the metabolism rate for the a 200-kg tiger Assess the quality of calibration using the RMS relative error and the coefficient of determination. In your opinion, does the model fit the data well