why does an outlier get a statistically significant value when a leverage point is dropped? when does a regressor lose statistical significance why is a regressor statistically significant which variable becomes statistically significant when a high leverage point is dropped? why does an outlier lose its value in the regression model when a regressor is dropped, why is it insignificant why would the leverage point be statistically significant if it was dropped what is statistically significant for a regression when to drop leverage point of regression p why does a regression regressor lose statistical significance why does a regressor lose statistical significance after dropping the outlier what does the drop of leverage mean to a regression why are regressors statistically insignificant when a high leverage point is dropped? what is meant by dropping a high leverage outlier why does a regressor lose statistical significance when a regressor is dropped what is the difference how does leverage affect the statistical significance of a regression variable? why does a regressor lose statistical significance when regressors is dropped what is the explanation when a high leverage point is dropped the regression model loses statistical significance.