Regression Coefficient
The same model gave income a coefficient of 3.99 or 3,994.80 depending on whether income was counted in dollars or thousands. R-squared was 0.7470 either way.
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Logistic Regression
A coefficient of +0.8022 multiplies the odds by 2.2305 everywhere — but raises the probability by 0.0849, 0.1903 or 0.0437 depending where you stand.
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Linear Models
The same logistic regression scored 0.6973 on two raw features and 0.9963 on their degree-2 polynomials, recovering a circular boundary.