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MediumML Fundamentalsml-254

Durbin-Watson

Problem

Compute the Durbin-Watson statistic: sum((e_t - e_{t-1})^2) / sum(e_t^2).

Return 0.0 with fewer than two residuals or a zero denominator.

Hint

Values near 2 indicate no autocorrelation; near 0 suggests positive autocorrelation.

Test cases

case 1
in: [[1,-1,1,-1]]
expected: 3
case 2
in: [[1,2,3]]
expected: 0.14285714285714285
case 3
in: [[0,0,0]]
expected: 0
case 4
in: [[2,1,2,1]]
expected: 0.3
Starter codePython
def durbin_watson(residuals):
    # Your code here
    pass

4 test cases · run your code against them in the editor