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?
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Q: What is the correlation coefficient with the outlier? What is the correlation coefficient without…
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Q: What is the correlation coefficient with the outlier? rw = What is the correlation coefficient…
A: Correlation coefficient is an associational parametric statistic.
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Q: What is the correlation coefficient with the outlier? rw = What is the correlation coefficient…
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A: Solution Correlation coefficient with outlier? So rw = -0.007
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- 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 =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.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?Over the first five years of owning her car, Gina drove about 12,700 miles the first year, 15,478 miles the second year, 12,675 the third year, 11,850 the fourth year, and 13,075 the fifth year. a. Find the mean, median, and mode of this data. b. Explain which measure of central tendency will best predict how many miles Gina will drive in the sixth year. a. mean= 12,700; median= 13,156; no mode; the mean is the best choice because it is representative of the entire data set. b. mean= 13,156; median= 12,700; mode= 3,628; the median is the best choice because it is not skewed by the high outlier. c. mean= 13,156; median= 12,700; no mode; the mean is the best choice because it is representative of the entire data set. d. mean= 13,156; median= 12,700; no mode; the median is the best choice because it is not skewed by the high outlier.A researcher has collected the following sample data: 3, 5, 12, 3, 2. The mean of the sample is 5. The range is
- 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 = 1.887The 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.Here is a sample data set. 278.2 282.5 311.5 311.6 320.4 322.9 352.3 367.4 375.7 390.8 395.8 411.7 412.9 412.9 412.9 418.6 419 420.6 423.1 425.2 426.9 429.1 429.6 433.5 434.3 434.8 435.4 435.4 436.2 444 451.7 453 456.5 464.1 473.2 476.1 478.2 489.2 497 502.7 502.7 502.7 513.5 517.9 522.2 566.6 568.3 576.1 577.1 580.8 604.5 618.9 621.6 628.4 24681012141618length (cm)250300350400450500550600650Frequency[Graphs generated by this script: setBorder(54,40,20,15); initPicture(205,650,0,19);axes(1256.8,2,1,null,2); fill="blue"; textabs([165,0],"length (cm)","above");line([250,-0.38],[250,0.38]); text([250,0],"250","below");line([300,-0.38],[300,0.38]); text([300,0],"300","below");line([350,-0.38],[350,0.38]); text([350,0],"350","below");line([400,-0.38],[400,0.38]); text([400,0],"400","below");line([450,-0.38],[450,0.38]); text([450,0],"450","below");line([500,-0.38],[500,0.38]); text([500,0],"500","below");line([550,-0.38],[550,0.38]);…
- 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 =
