model = LinearRegressionModel()

    x = FeatureSet(features=[PClass, Sex, Age, SibSp, Parch, Fare])
    y = FeatureSet(features=[Survived])

    (x + y).build(
        csv_path="https://web.stanford.edu/class/archive/cs/cs109/cs109.1166/stuff/titanic.csv"
    )

    model.fit(x=x, y=y)
    model.evaluate(x=x, y=y, metrics=[Slope, ErrorStd])
    model.calculate_coefficients(x=x)