To illustrate that outliers among the dependent variable can make a practical difference when using.

To
illustrate that outliers among the dependent variable can make a practical
difference when using the least squares estimator rather than the Theil–Sen
estimator, even when there are no leverage points, consider again the star
data, only now the goal is to predict the surface temperature of stars given
its light intensity. The least squares estimate of the slope is −0.107,
suggesting a negative association. But the Theil–Sen estimate is positive:
0.123.

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