def METHOD_NAME(y):
    y = numpy.sort(y)
    n = len(y)
    x = numpy.arange(1, n + 1)
    x_mean = numpy.mean(x)
    y_mean = numpy.mean(y)
    numerator = 0
    denominator = 0
    for i in range(n):
        numerator += (x[i] - x_mean) * (y[i] - y_mean)
        denominator += (x[i] - x_mean) ** 2
    m = numerator / denominator
    b = y_mean - (m * x_mean)
    print("Mean {:.2f}, Range: {:.2f}, Bias Coef: {:.2f}, Intercept: {:.2f}".format(numpy.mean(y), y[n - 1] - y[0], m, b))