Cook's Distance One Point

Problem

Cook's distance for a simple regression point is D = (r^2 / (p * MSE)) * h / (1 - h)^2 with p predictors including intercept = 2.

Given the residual r, the MSE, and the leverage h, return D.

Hint

High leverage amplifies the influence of a residual.

case 1

in: [1,1,0.1]

expected: 0.06172839506172839

case 2

in: [2,4,0.5]

expected: 1

case 3

in: [0,1,0.2]

expected: 0

Starter codePython

def cooks_distance_one_point(residual, mse, leverage):
    # Your code here
    pass

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