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import numpy as np def regression_line(X, Y): # Calculate mean of X and Y mean_X = np.mean(X) mean_Y = np.mean(Y) # Calculate slope (m) and y-intercept (b) of the regression line numerator = sum((Y - mean_Y) * (X - mean_X)) denominator = sum((Y - mean_Y) ** 2) m = numerator / denominator b = mean_X - m * mean_Y return m, b # Example points X = np.array([1, 2, 3, 4, 5]) Y = np.array([2, 3, 4, 5, 6]) # Calculate regression line slope, intercept = regression_line(X, Y) print("Regression line: X =", slope, "* Y +", intercept)

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