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?
Q: The following bivariate data set contains an outlier. y 86.9 -1560.6 45.7 -461.1 83 1152.8 63.7…
A: Given: Sr. No. x y 1 86.9 -1560.6 2 45.7 -461.1 3 83 1152.8 4 63.7 2016.6 5 76.6…
Q: What is the correlation coefficient with the outlier? What is the correlation coefficient without…
A: The sums are, x y x2 y2 xy 76.2 83.2 5806.44 6922.24 6339.84 77.9 -940.7 6068.41 884916.49…
Q: What is the correlation coefficient with the outlier? rw = What is the correlation coefficient…
A: Correlation coefficient is an associational parametric statistic.
Q: The following bivariate data set contains an outlier. y 44.9 89.6 43.4 1383 33.1 -1384.8 34.4…
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Q: 5.8 6.6 7.3 8.2 10 5.5 6. 6.5 7.5 8 8.5 1. 9. 9.5 10.5 11 5.8 6.5 7.3 8.3 10 5.5 6. 6.5 7.5 8 8.5…
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Q: The following bivariate data set contains an outlier. x y 62.1 -2396.1 74.2 1036.9 71.5 48.4 58…
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Q: The following bivariate data set contains an outlier. y 423 2093 4
A: Correlation with outlier: x y x^2 y^2 xy 42.3 2093.4 1789.29 4382324 88550.82 65.7 1972…
Q: Below is a sample quantitative data set. 520 675.5 537.8 540.4 628.1 465.2 509.7 457.2 342.6 402.8…
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Q: x y 61 -386.7 64.1 -459.9 62.8 97.2 62.9 1485 49.5 0 43.1 -29.1 51.8 201.7 68.5 -1712.3 72.5 -650.9…
A: The outlier in this data is (166.4, 339.4) . Because the range of X in the data lies from 0 to 50…
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Q: The following bivariate data set contains an outlier. y 76.2 234.4 69.3 -354.6 41.9 -16.1 65.6…
A: lets make a table in excel to calculate the following data a) with the outlier
Q: he following bivariate data set contains an outlier. x y 25.4 -297.7 44.5 965.7 31.4 -1060.8 61.5…
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Q: The following bivariate data set contains an outlier. x y 77.4 103.8 83 -11.8 74.3 1265.9 68.7…
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Q: The following bivariate data set contains an outlier. x y 58.2 2259.1 64.9 1059.8 43.1 -646.2 56.5…
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Q: The following bivariate data set contains an outlier. 78.6 -232.7 77.5 325.7 77.1 -81.2 74.4 -66.6…
A: Solution Correlation coefficient with outlier? So rw = -0.007
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A: Solution
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- Below is a sample quantitative data set. 457.8 386.6 302.3 399.5 425.7 293.9 392.2 459.1 416.9 387.4 388.4 414.1 431.9 374 480.6 481.4 401 401 420.9 439.4 439.4 383.9 291.4 484.6 352 383.7 382.5 514.5 383.7 431.2 386.3 420 386.9 422.4 409 344.3 369.1 503.5 511.4 315.1 383.7 326.3 431 392 291.3 a. Find the first quartile for this data set. Q₁ = b. Find the third quartile for this data set. Q3 = 474.9 400.7 516.5 439.4 517.4 386.2 433 289 467.4 c. Find the interquartile range for this data set. IQR =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.
- The accompanying dala gives the results of a survey on the number of hours spent online per week on a certain social networking website. Determine if the mean number of hours spent online per week is the same for males as it is for females. Assume that the population variances are unequal Click the icon to view the social media survey data. Is there sufficient evidence at the 0.05 level of significance that the mean number of hours spent online per week is the same for males as it is for females? Determine the null hypothesis, Ho, and the alternative hypothesis, H₁. Let females be population 1 and males be population 2. Survey data Ho H₁ (Type integers or decimals. Do not round.) Gender Female Hours online/week Gender Hours online/week D 4 Male Female 11 Male Female 9 Male Female 8 Male Female 7 Male Female 13 Male Female 2 Male Female 6 Male Female 2 Male Female 6 Male Female 7 Make Female 3 Male Female Female Female Female Female Female Female Female 46021337 Mole 0653T50478145 8…Help pleaseFor 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 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]);…Here is a sample data set. 254.2 338.4 218.7 271.8 403.4 339.5 403.6 393.5 339.2 438 362.3 455 404.9 356.3 267.2 367.7 387.7 352.2 397.7 358.5 288.8 411 372.8 357.4 344.7 410.3 446.2 289.1 367.7 453 404.9 349 420.2 255.4 404.5 284.4 310 363 338.4 338.4 443.8 260.5 472.4 356.6 285.3 439.1 403.8 478.1 432 376.8 388.8 389.3 322.5 404.9 Find the first quartile for this data set. Q1 Find the third quartile for this data set. Q3 = Find the interquartile range for this data set. IQR =
- Here is a sample data set. Frequency 153.1 201.4 209.3 221.3 225.4 228.8 232.8 278.7 282.5 282.6 283.4 290.6 342.9 342.9 342.9 345.2 349.2 358.4 362.8 370.5 379.8 387.9 390.7 403.9 404.3 427.9 434.9 434.9 441.2 443 445 449.4 450.6 460.4 468.5 469.4 480.6 482 489.6 515.6 484.8 488.9 488.9 488.9 525.7 526.5 537.1 537.9 614.3 685.1 739.2 751.7 557.6 599.9 10 8 6 4 2 15000500050005608500050005000 length (cm) Find the first quartile for this data set. Q₁ = Find the third quartile for this data set. Q3= = Find the interquartile range for this data set. IQR = Find the lower fence separating outliers from usual values. Fence low = Find the upper fence separating outliers from usual values. Fence highThe 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 =
