Quadratic fit
Use the fitquad (or fitquadratic) function:
using EasyFit, Plots, Random
Random.seed!(1)
x = sort(rand(10))
y = x .^ 2 .+ 0.1 * rand(10)
fit = fitquad(x, y)------------------- Quadratic Fit -------------
Equation: y = ax^2 + bx + c
With: a = 1.1540131687660296
b = -0.16684672659378133
c = 0.0795463708208228
Correlation coefficient, R² = 0.9902462794739332
Average square residue = 0.0007388439233342179
Predicted Y: ypred = [0.07619625993801021, 0.0741324648748413, ...]
residues = [-0.018816101245944836, 0.025609591150666612, ...]
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scatter(x, y, label="data", framestyle=:box)
plot!(fit.x, fit.y, label="fit", linewidth=2)