I need to create a residual plot and explain how to improve the linear regression model based on the information of the plot. I created a table that shows the average number of officers assigned to each sector. Also the total I I I number of incidents and total numbers of officers and computed the overall average. The Linear Regression line graph was created. 2ndly, describe the impact of the outliers on the regression model, providing graphical representation as evident to support the description, 3rdly, I am now back up to number one question: I need to create a residual Plot

District No. of Officers at

Sector Incidents Scene

B 83 158

H 125 165

W 47 86

K 64 131

D 60 121

O 31 72

U 52 96

R 60 124

S 44 82

J 41 77

Q 62 120

L 38 72

C 44 76

M 91 176

N 53 117

F 35 68

G 39 76

E 86 158

Of this dataset, Sector K - E was used to create Linear Regression. Numbers of Officers versus incidents are off balance due to the outlier in Sector H for the Linear Regression. Can you help me to do a residual plot to help improve the Linear Regression.