In Problem 12.4, a regression line was fitted using X = life expectancy and Y = crude birth rate. The x = 68.7years and Y = 21.4 births per 1000 population. Here, the effect of the three types of...

In Problem 12.4, a regression line was fitted using X = life expectancy and Y = crude birth rate. The x = 68.7years and Y = 21.4 births per 1000 population. Here, the effect of the three types of outliers will be explored.

(a) Add an outlier in Y that has a value (X, Y) of (68.7,44) and recompute the regression line.

(b) Remove the outlier added in (a) and add an outlier in X of (85,ll). Recompute the regression line.

(c) Remove the outlier in (b) and add an outlier in X and Y (influential point) of (85,44). Recompute the regression line.

(d) Compare the effects of these three outliers on the slope coefficient and the correlation coefficient.