17	Make a scatter plot linked and near the following data:
	X	Y
	1.01	2.5982
	1.07	2.2752
	1.16	2.592
	1.19	2.2252
	1.19	3.2843
	1.22	2.19
	1.32	3.6176
	1.38	2.9516
	1.43	3.9971
	1.45	4.0855
	1.46	4.0862
	1.48	4.0272
	1.53	2.8406
	1.56	4.3208
	1.58	3.6052
	1.6	3.59
	1.72	4.8756
	1.75	3.6875
	1.77	4.1042
	1.8	4.538
	1.81	5.1257
	1.88	4.6192
	1.94	5.4924
	2	5.21
	2.25	-8
18	Make the title Scatterplot of X and Y Data.
	Add trendline, regression equation, and R2 to the plot.
19	The scatterplot reveals a point outside the point pattern. A "residual" is defined as the veritical distance from the regression line to a data point, or Residual = Observed - Predicted. You can select regression option Residuals to show the residuals. Q1, Q3, and IQR were computed for the residuals. Residuals that are more that 1.5 IQR below Q1 or more than 1.5 IQR above Q3 are considered outliers and the corresponding data must be investigated. It was determined that the outlying data point was due to data entry error. The data is copied here and outlier removed. Make a new scatterplot linked and near the cleaned data, and add title Scatterplot without Outlier, trendline, and regression equation label.
	X	Y
	1.01	2.8482
	1.07	2.5252
	1.16	2.842
	1.19	2.4752
	1.19	3.5343
	1.22	2.44
	1.32	3.8676
	1.38	3.2016
	1.43	4.2471
	1.45	4.3355
	1.46	4.3362
	1.48	4.2772
	1.53	3.0906
	1.56	4.5708
	1.58	3.8552
	1.6	3.84
	1.72	5.1256
	1.75	3.9375
	1.77	4.3542
	1.8	4.788
	1.81	5.3757
	1.88	4.8692
	1.94	5.7424
	2	5.46
20	Compare the regression results of the two plots. What does the outlier do to the regression line?
	What does the regression line do when the outlier is removed?
	Why does R2 increase when an outlier is removed?