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Compare the regression equations of the two plots. How did removal of the outlier affect the slope and R2? Explain why the slope and R Square change the way they did.

17) On this worksheet, make an XY scatter plot linked to the following data: 1.01 2.8482 Scatterplot of X and Y Data 1.48 4.2772 1.8 4.78 1.81 5.3757 1.07 2.5252 1.53 3.0906 25 1.46 4.356 1.38 3.2016 1.77 4.3542 1.86 4.8692 20 1.32 3.8676 1.75 3.937! 1.94 15 1.19 2.4752 1.31 26.2 1.56 4.5708 10 8 0.0615 1.16 2.84: 1.22 2.44 1.72 5.1256 1.45 4.3355 1.43 1.2471 1.19 3.5343 2 5.46 1.6 3.84 05 15 25 3.8552 18) Add trendline, regression equation and r squared to the plot. Add this title. ( "Scatterplot of X and Y Date") 191 The scatterplot reveals a point outside the point pattern. Copy the data to a new location in the worksheet. You now have 2 sets of data. Data that are more the 1.5 IQR below Q1 or more than 1.5 IQR above 83 are considered outliers and must be investigated. It was determined that the outlying point resulted from data entry error. Remove the outlier in the copy of the data. Make a new scatterplot linked to the cleaned data without the outlier, and add title ("Scatterplot without Outlier,") trendline, and regression equation label. X Y 1.01 2.8482 1.48 4.2772 Scaterplot without Oulier 1.8 4.788 1.81 5.3757 1.07 2.5252 1.53 3.0906 1.46 4.336 1.38 3.2016 1.77 4.3542 1.86 1.8692 1.32 3.8676 1.75 3.937! 1.34 5.7424 1.19 2.4752 1.56 4.5708 1.16 2.642 1.22 2.44 1.72 5.1256 1.45 4.3355 1.43 4.2471 1.19 2 5.46 1.6 3.84 15 2.5 1.58 3.8552 Compare the regression equations of the two plots. How did removal of the outlier affect the slope and R"? Explain why the slope and R Square change the way they did 20)