OLS Intercept Simple Regression

Problem

The OLS intercept is mean(y) - slope * mean(x), which anchors the fitted line at the sample means.

Given the predictor values and responses, return the intercept.

Hint

Substitute the means into y = a + b x.

case 1

in: [[1,2,3],[2,4,6]]

expected: 0

case 2

in: [[0,1],[1,0]]

expected: 1

case 3

in: [[1,2],[3,5]]

expected: 1

Starter codePython

def ols_intercept_simple_regression(xs, ys):
    # Your code here
    pass

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