The following results for a set of data is given for a polynomial regression: p4 p2...

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The following results for a set of data is given for a polynomial regression: p4 p2 p3 P p5 p6 +36 +6.2 3 +3.1 9 x P2 +3.1 y: 2.9 +1.1 XP + 1.4 +1.8 +2.2 First, re-write the table with numerical results. Note that, for a linear regression, the system matrices will be in the form: K12] N [K_K] {@y} = {b} - [**] {@y} = {{} Kaz] Assuming there are 20 + P data points, write down the system matrices for a linear (will be a 2x2 system as in the form given above), quadratic (will be a 3x3 system) and a cubic (will be a 4x4 system) regression with your tabulated data. Solve for the quadratic regression using Gauss elimination. 27 P3 +3.1 The following results for a set of data is given for a polynomial regression: p4 p2 p3 P p5 p6 +36 +6.2 3 +3.1 9 x P2 +3.1 y: 2.9 +1.1 XP + 1.4 +1.8 +2.2 First, re-write the table with numerical results. Note that, for a linear regression, the system matrices will be in the form: K12] N [K_K] {@y} = {b} - [**] {@y} = {{} Kaz] Assuming there are 20 + P data points, write down the system matrices for a linear (will be a 2x2 system as in the form given above), quadratic (will be a 3x3 system) and a cubic (will be a 4x4 system) regression with your tabulated data. Solve for the quadratic regression using Gauss elimination. 27 P3 +3.1