Q4: Consider the following Rocket Propellant Data: Observation Shear Strength (psi) Age of Propellant (weeks) 7 2158.70

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Q4 Consider The Following Rocket Propellant Data Observation Shear Strength Psi Age Of Propellant Weeks 7 2158 70 1 (67.19 KiB) Viewed 31 times

Q4: Consider the following Rocket Propellant Data: Observation Shear Strength (psi) Age of Propellant (weeks) 7 2158.70 1678.15 2316,00 2061.30 2207.50 1708.30 1784.70 2575.00 2357.90 2256.70 2165.20 2309.55 1779.80 2336.75 1765.30 2053.50 2414.40 2200.50 2654.20 1753.70 15.30 23.75 8.00 17.00 5.50 19.00 24,00 2.50 7.50 11.00 13.00 3.75 25,00 9.75 22.00 18.00 6,00 12.50 2.00 21.50 12 13 14 15 16 17 18 19 20 Firstly, draw scatter plot of shear strength versus age of propellant. Then, obtain the least squares regression line by solving system of linear equation, by using MATLAB function fitlm and by using MATLAB function polyfit (response variable should be shear strength and input variable should be age of propellant). Check the results. Are the parameters of each model same? Calculate MAE (mean absolute error) and MAPE (mean absolute percentage error) for the simple linear regression model that you obtain.