Understanding Ordinary Least Squares (OLS) Regression | Built In
Understanding Ordinary Least Squares (OLS) Regression | Built In
9 months ago
builtin.com
The statsmodels ols() method is used on a cars dataset to fit a multiple regression model using Quality as the response variable. Speed and Angle are used as predictor variables. The general form of this model is:Fo   Bi Speed - Bx-AngleIf the level of significance, alpha is 0.10, based on the output shown; is Angle statistically significant in the multiple regression model shown above? Select one.A text version of this output is available.OLS Regression ResultsDep Variable: QualityR-squared: Mo
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