In linear regression, outliers can be categorized into several types, i.e, residual outliers, bad leverage points, good leverage points and influential observations. i. Which of these outliers is the most dangerous? Justify your answer. ii. Literature has shown that keeping good leverage points in data will increase the efficiency of the estimator. Show by plot what is the meaning by good leverage point do not affect the slope of parameter estimation