17) On this worksheet, make an XY scatter plot linked to the following data: 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 18) Add trendline, regression equation and r squared to the plot. Add this title. ("Scatterplot of X and Y Data") 19) 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 tha 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. 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 20)

17) On this worksheet, make an XY scatter plot linked to the following data: 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 18) Add trendline, regression equation and r squared to the plot. Add this title. ("Scatterplot of X and Y Data") 19) 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 tha 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. 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 20)

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.6: Summarizing Categorical Data

Problem 23PPS

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Related questions

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17)	On this worksheet, make an XY scatter plot linked to the following data:

	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

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

19)	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 tha 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.

	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
20)