On this worksheet, make an X Y scatter plot

X Y

1.01 2.8482

1.48 4.2772

1.8 4.788

1.81 5.3757

1.07 2.5252

1.53 3.0906

1.46 4.3362

1.38 3.2016

1.77 4.3542

1.88 4.8692

1.32 3.8676

1.75 3.9375

1.94 5.7424

1.19 2.4752

1.31 26.2

1.56 4.5708

1.16 2.842

1.22 2.44

1.72 5.1256

1.45 4.3355

1.43 4.2471

1.19 3.5343

2 5.46

1.6 3.84

1.58 3.8552

• Add trendline, regression equation and r squared to the plot.
• Add this title. ("Scatterplot of X and Y Data")

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 than 1.5 IQR below Q1 or more than 1.5 IQR above Q3

• 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.

Now, 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

1.8 4.788

1.81 5.3757

1.07 2.5252

1.53 3.0906

1.46 4.3362

1.38 3.2016

1.77 4.3542

1.88 4.8692

1.32 3.8676

1.75 3.9375

1.94 5.7424

1.19 2.4752

1.56 4.5708

1.16 2.842

1.22 2.44

1.72 5.1256

1.45 4.3355

1.43 4.2471

1.19 3.5343

2 5.46

1.6 3.84

1.58 3.8552

• 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