Question is attached below please Write Clearly! the DirectGauss.m file ( used in MATLAB) can help you find the unknowns at the end. I will also attach that. But you don't necessarily have to use it

1) Fit the given dataset to a quadratic polynomial using polynomial regression. Calculate the goodness of the fit. You can use the DirectGauss.m file to find the unknowns. X 2 4 6 8 10 12 Y 4.1 5.7 17.6 47.2 45.9 101.1clc clear all close all tic % The System of Linear Equations % The Direct Method % Ax = b; A is the coefficient matrix, x is the unknown vector and b is the % scalar or the result vector. A=[6 520 1.424*10'5; 520 1.424*10'5 3.11?*10'?; 1.424*10'5 3.117*10'7 8*10'9]; b=[31.15 1.865*10'3 5.669*10'5]'; x = A\\b tOC