The following bivariate data set contains an outlier.y-1488.9-292.8875.4668.6-143.2409.3-858.12455.6-790.164.2-1009.758.9259.460.7266.772.2225369.2188.9158.114289.1This data can be downloaded as a *.csv file with this link: Download CSVX72.568.770.883.759.461.563.575.160.7What is the correlation coefficient with the outlier?Tw= 0.1855XWhat is the correlation coefficient without the outlier?Two 0.4334Would inclusion of the outlier change the evidence for or against a significant linear correlation?O Yes. Including the outlier changes the evidence regarding a linear correlation.No. Including the outlier does not change the evidence regarding a linear correlation.

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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13)
The following bivariate data set contains an outlier. x y 33.3 -236 48 2775.5 35.8 113.6 37.2 -847.7 36.7 -771.2 27.9 -497.6 42.1 647.7 26.2 1112.5 17.1 -912.3 62.5 -1162.1 33.6 -423.5 48.9 18.3 32.4 -513.2 45.2 1011.7 198.7 -1199 This data can be downloaded as a *.csv file with this link: Download CSVWhat 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.
Use the accompanying data set to complete the following actions. a. Find the quartiles. b. Find the interquartile range. c. Identify any outliers. 58 57 56 59 55 61 65 58 61 62 56 54 61 57 72 The second quartile, Q2, is 58 The third quartile, Q3, is 61 (Type integers or decimals.) b. Find the interquartile range. The interquartile range (IQR) is 5. (Type an integer or a decimal.) c. Identify any outliers. Choose the correct answer below. A. There exists at least one outlier in the data set at (Use a comma to separate answers as needed.) B. There are no outliers in the data set.
Use the accompanying data set to complete the following actions. a. Find the quartiles. b. Find the interquartile range. c. Identify any outliers. 61 62 61 56 64 56 62 57 60 58 60 54 58 56 76 a. Find the quartiles. The first quartile, Q₁₁1 is The second quartile, Q₂, is The third quartile, Q3, is (Type integers or decimals.)
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.
The following bivariate data set contains an outlier. x y 47.6 -450.2 49.6 3875.1 50.7 810.4 45 2185.1 43.7 -2798.3 49.4 2559.2 47.1 -2470.1 54.7 -529.3 50.7 -782.7 70.6 1759.5 52 -300.9 50.4 -2081.5 46.7 584.2 48.3 -1207.1 151.3 -22818.5 What is the correlation coefficient with the outlier?rw = [Round your answer to three decimal places.]What is the correlation coefficient without the outlier?rwo = [Round your answer to three decimal places.]Would inclusion of the outlier change the evidence for or against a linear correlation? Yes. Including the outlier changes the evidence regarding a linear correlation. No. Including the outlier does not change the evidence regarding a linear correlation. Question for thought: Would you always draw the same conclusion with the addition of an outlier?
For the given data set: [5.1, 7.3, 7.5, 7.2, 7.4, and 7.1] Determine the outlier using Grubbs test. Gcrit = 1.887
The following bivariate data set contains an outlier. X y 53 -2633.5 39.8 -425.5 66.2 -3345.2 66.7 3265.7 64.4 967.1 50.7 973.8 47.1 -603.8 25.3 851.5 23.3 1832.8 38.1 1726.6 58.1 869 43.6 998.5 59.8 -3427 59.7 -438 196.9 23343.8 What is the correlation coefficient with the outlier? rw = three decimal places.] [Round your answer to What is the correlation coefficient without the outlier? rwo = to three decimal places.] [Round your answer Would inclusion of the outlier change the evidence for or against a linear correlation? Yes. Including the outlier changes the evidence regarding a linear correlation. No. Including the outlier does not change the evidence regarding a linear correlation. Question for thought: Would you always draw the same conclusion with the addition of an outlier?
The following bivariate data set contains an outlier. x y 52.1 -1079.6 46.8 -626.4 27.1 -539.1 54.2 88.7 38.5 -512.5 55.2 461.1 49.2 975.4 35.5 -1773.3 39.4 1392.5 48.8 -1035.8 62.5 -517.7 36.8 -1138.2 48.7 -2534.1 43.2 60.2 168.7 13172.3 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.
The following bivariate data set contains an outlier. x y 26.1 211.3 35.4 -464.7 41.6 -98.6 19.9 305.9 31.9 99.5 50.1 -676.3 42.3 -180.3 32 494.1 21 345.4 35.4 792.7 22.4 -46.3 30.5 -22.6 50.9 700.4 16.8 146.3 153.2 -5083.3 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? Yes. Including the outlier changes the evidence regarding a linear correlation. No. Including the outlier does not change the evidence regarding a linear correlation. Question for thought: Would you always draw the same conclusion with the addition of an outlier?
The following bivariate data set contains an ou tlier. y 12.4 -410.6 13 -1023.1 17 1871.8 57.6 963.8 32.8 -915.7 17.5 -825.8 20.6 1984.8 48.9 -3054.2 47.1 -545.8 59.4 -1075.9 56.1 -3731.6 42.8 2552.5 34.9 -2246.9 32.9 1427.8 200.4 1088 What is the correlation coefficient with the outlier? What is the correlation coefficient without the outlier? rwo = Would indusion of the outlier change the evidence for or against a significant linear correlation? O No. Induding the outlier does not change the evidence regarding a linear correlation. O Yes. Induding the outlier changes the evidence regarding a linear correlation.
The following bivariate data set contains an outlier. x y 25.3 -551.6 22.3 -261.3 43.5 1217.2 5.7 118.1 62 -559.5 47.6 -1035 52.2 182.4 24.3 -137.7 44.5 -1382.1 36.5 1326.1 3.1 303.8 40.3 22.9 27.2 262 16.4 -1269.6 238.7 9450.7 What is the correlation coefficient with the outlier? Enter your answer rounded to 3 decimal places.rw = What is the correlation coefficient without the outlier? (Hint: The last row is the outlier.) Enter your answer rounded to 3 decimal places.rwo =

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