y = mx + b
m - slope
b - y intercept
m = (mean(x) * mean(y) - mean(x * y)) / ((mean(x))^2 - mean(x^2))
b = mean(y) - m * mean(x)
r - coefficient of determination
SE - squared error
r^2 = 1 - (SE best fit line) / (SE mean(y))
Regression
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