MATLAB Code:
close all
clear
clc
x = 15:5:50;
y = [42 97 117 139 141 121 92 66];
p = polyfit(x,y,2); % degree 2 (quadratic) polynomial fit
fprintf('Quadratic Polynomial: p(x) = (%f)*x^2 + (%f)*x + (%f)\n',
p)
xx = linspace(min(x) - 5, max(x) + 5, 100); % 100 samples
between min - 5 and max + 5 of x
yy = polyval(p, xx); % evaluating the quadratic polynomial at the
above 100 samples
plot(x,y,'o',xx,yy), xlabel('Density (x1000)'), ylabel('Crop
Yield')
legend('Data Points', 'Quadratic Fit')
title('Quadratic Fit of Crop Yield vs. Density')
Output:
Quadratic Polynomial: p(x) = (-0.278333)*x^2 + (18.465476)*x + (-167.732143)
Plot:

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