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m, b, cost = linear_regression(x ** 2,y)
y_pred = m * x ** 2 + b
plt.scatter(x, y, color='blue')
plt.plot(x, y_pred, 'r-')
print('MSE: {}'.format(cost))
m, b, cost = linear_regression(x ** 2,y)
y_pred = m * x ** 2 + b
plt.scatter(x, y, color='blue')
plt.plot(x, y_pred, 'r-')
print('MSE: {}'.format(cost))