The following bivariate data set contains an outlier.y53.260.858.640.833.874.2-27.970.27447.982.968.347.5-5113968.853.943.8-1.819.825.6-6.55.537.447.967.1295.8-274.7What is the correlation coefficient with the outlier?rw =What is the correlation coefficient without the outlier?Two = For the next questions, I want you to consider that there is more than the existence or non-existence ofcorrelation. You can have:Strong positive correlation• Moderate positive correlation• No correlation• Moderate negative correlation• Strong negative correlationWould inclusion of the outlier change the evidence for or against a significant linear correlation at 5%significance?O Yes. Including the outlier changes the evidence regarding a linear correlation.O No. Including the outlier does not change the evidence regarding a linear correlation.Would you always draw the same conclusion to the above question with the addition of any outlier?O Yes, any outlier would result in the same conclusion.O No, a different outlier in a different problem could lead to a different conclusion.Explain your answer to the second multiple-choice question.

Answered: Image /qna-images/answer/713e63e3-3fa9-4cbc-9b45-e12d16360357.jpg

Answered: The following bivariate data set…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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The following bivariate data set contains an outlier. y 61.5 -49.2 74.4 189.1 84 156.4 71.3 60.1 70.4 -125 71.8 26.4 66.5 -34.3 76.2 496.4 82.9 219.3 65.2 245 91.7 -104.2 78.4 -80.3 86.9 -38 62.4 -117.8 182.3 229 What is the correlation coefficient with the outlier? %3D What is the correlation coefficient without the outlier? rwo
47. For the following data set, which totals 125, identify the mean, the median and the mode 1; 2; 3; 3; 4; 4; 5; 6; 6; 7; 7; 7; 8; 9; 9; 9; 9; 10; 10 Mean is 6.5; Median is 6.25; Mode is 9 Mean is 6.25; Median is 6.5; Mode is 7 Mean is 6.5; Median is 7; Mode is 6 Mean is 6.25; Median is 6.5; Mode is 9 48. Veral is manager of an operations team. He has been advised by a managemnt consultant that his span of control is currently too wide. Veral wishes to establish what has led the management consultant to reach this conclusion Which of the following aspects of Veral’s behaviour is characteristic of a manager who has too wide span of control ? He fails to delegate routine tasks to his team members He interferres in the work that his team members have been assigned to do He has to spend so much time supervising team members that he has little time for planning He deprives his team members of decision-making authority and responsibility
Here is a sample data set. 335.4 336.2 348.8 352.9 353.9 361.7 368.4 373.8 380.7 389.1 389.6 389.9 393.5 396.1 396.5 400.7 402.0 403.4 403.6 404.1 404.1 404.9 408.6 409.3 409.9 410.4 413.9 414.3 419.4 428.9 431.2 432.1 442.4 442.4 442.4 442.8 485.1 489.0 489.2 489.8 491.8 362.7 367.4 368.1 386.1 386.1 386.1 388.0 Frequency = = 448.1 450.1 459.5 470.8 485.1 .8 493.1 = 20 = 15 Find the minimum for this data set. min 10 5 Find the first quartile for this data set. Q₁ max = 300 350 400 450 500 length (cm) Find the median for this data set. Mdn Find the third quartile for this data set. Q3 Find the maximum for this data set.
26.Consider the following small dataset: 210,243,170,134,91,461,320,63,132,252.a. Write the 5 number summary of this datab. what are the inter Quartile Range for this data?c.Are there outliers?
Is the mean or median a better measure of center for this data set? Why?
For the following set of sample data: {10, 50, 60, 70, 75 79, 85, 90, 91, 95, 100, 110} What is the lower limit for identifying an outlier?
The following bivariate data set contains an outlier. x y 25.3 205.2 43.1 1.7 0.9 98.5 12.8 286.1 13.1 -38.4 22.7 -14.4 11.2 103.3 4.8 -27.5 -3.8 180.6 -8.3 232 27.2 209.6 21.1 -180.5 35.5 -439.3 32.4 -248.2 197.3 2462.3 What is the correlation coefficient with the outlier?rw = What is the correlation coefficient without the outlier?rwo =
Here is a sample data set. Frequency = 238.4 238.6 272.3 280.6 288.1 291.1 296.8 303.8 308.5 316.5 320.1 360.4 360.4 360.4 363.9 364.3 377.1 378.6 380.4 381.6 388.1 390.2 392.1 404.2 405.3 405.3 406.1 408.5 409 412.4 414.4 416.1 419.7 419.8 422 423.8 424.6 424.6 424.6 427 430.7 439.9 440 459.7 466 471 488.1 491 494.9 498.4 508.1 420.8 = 20 15 10 Find the first quartile for this data set. Q₁ = 5 200 250 300 350 400 450 500 550 length (cm) Find the third quartile for this data set. Q3 Find the interquartile range for this data set. IQR 339 368 Find the lower fence separating outliers from usual values. Fence Low = Find the upper fence separating outliers from usual values. Fence high =
The following bivariate data set contains an outlier. x y 65.5 288.7 25.2 -94.1 17.7 -164.9 46.7 192.9 69.4 204.2 62.7 330.2 58.4 379.7 49.1 237.8 40.8 232.8 77.8 30.2 63.9 86.5 35.8 -188.9 43.4 -200.2 42.7 368.3 258.1 -180.7 What is the correlation coefficient with the outlier?rw = What is the correlation coefficient without the outlier?rwo =
13)
Calculate the coefficient of skewness for the data referring to 50 students. 173.5 171.4 178.2 165.7 180.0 174.6 176.0 168.5 180.1 165.9169.0 175.4 176.5 164.0 167.5 158.4 168.0 172.8 172.5 173.2170.5 180.5 171.8 184.3 178.5 172.0 174.5 173.0 176.3 186.4167.5 165.7 165.0 178.0 177.5 181.0 179.5 174.6 173.2 172.9170.5 181.3 160.6 168.5 170.0 171.0 176.5 178.9 180.0 169.0
The following bivariate data set contains an outlier. x y 52.9 788.3 55.7 583.8 43.2 12.3 50.3 486.2 60.5 297.6 48.1 176.8 60 443.1 31.7 174.6 46.6 -261.6 43.6 624 32 310.7 43.4 270.8 52.9 260.1 57.2 -955.2 146.9 6018.8 What is the correlation coefficient with the outlier? rw = What is the correlation coefficient without the outlier? rwo = Would inclusion of the outlier change the evidence for or against a significant linear correlation? No. Including the outlier does not change the evidence regarding a linear correlation. Yes. Including the outlier changes the evidence regarding a linear correlation.

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