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In [28] : Anova=smf. ols(' Satisfaction Convenience+Comfortable+Safety+Price+Appearance+Speed' , data=df). fit() sms_anova. anova_Im (Anova) Out [28] : df sum_sq mean_sq F PR(>F) Convenience 1.0 98.936116 98.936116

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In [28] : Anova=smf. ols(' Satisfaction Convenience+Comfortable+Safety+Price+Appearance+Speed' , data=df). fit() sms_anova. anova_Im (Anova) Out [28] : df sum_sq mean_sq F PR(>F) Convenience 1.0 98.936116 98.936116 61.751101 1.040977e-09 Comfortable 1.0 4.029038 4.029038 2.514729 1.204706e-01 Safety 1.0 0.000007 0.000007 0.000004 9.983344e-01 Price 1.0 5.933727 5.933727 3.703543 6.125604e-02 Appearance 1.0 0.879291 0.879291 0.548811 4.630260e-01 Speed 1.0 10.320182 10.320182 6.441355 1.504503e-02 Residual 41.0 65.689205 1.602176 NaN NaN

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