Here is a bivariate data set. y 55.2 36.1 52.6 4.4 62.1 85.4 58.7 39.5 60.8 51 65.5 64.8 66.1 46.6 63.5 54.2 64.6 26.4 69.1 69.3 68.3 45.7 63.9 54.2 55.5 65.7 63.8 32.9 66.1| 35.7 Find the correlation coefficient and report it accurate to three decimal places. r =
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…
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Q: Modern medical practice tells us not to encourage babies to become too fat. Is there a positive…
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- Mouse weights. Find the mean and median for the data in the following table. Interval 41.5 - 43.5 43.5 - 45.5 45.5 - 47.5 47.5 - 49.5 49.5 - 51.5 51.5 - 53.5 53.5 - 55.5 55.5 - 57.5 57.5 - 59.5 Frequency 2 14 16 21 16 15 8 mean = (Round to two decimal places if needed.) median = (Round to two decimal places if needed.)Modern medical practice tells us not to encourage babies to become too fat. Is there a positive correlation between the weight x of a 1-year old baby and the weight y of the mature adult (30 years old)? A random sample of medical files produced the following information for 14 females. x (lb) 19 24 25 23 20 15 25 21 17 24 26 22 18 19 y (lb) 126 126 125 124 130 120 145 130 130 130 130 140 110 115 In this setting we have Σx = 298, Σy = 1781, Σx2 = 6492, Σy2 = 227,603, and Σxy = 38,105. f) Find Se. (Round your answer to two decimal places.)Se = (g) Find a 95% confidence interval for weight at age 30 of a female who weighed 21 pounds at 1 year of age. (Round your answers to two decimal places.) lower limit lb upper limit lb (h) Test the claim that the slope ? of the population least-squares line is positive at the 1% level of significance. (Round your test statistic to three decimal places.) t =Here is a sample data set that appears to be nearly normal (as suggested by the histogram). 85.4 63.6 85.7 85.6 92.4 89.8 84.2 82.2 88 76.5 87.6 79 61.4 88.6 89.4 95 96.4 76.3 92.4 79.8 82.2 86.5 76.7 90.7 85.4 94 75.8 79.8 92.4 74.3 65 81.4 75.5 76.7 76.5 84.2 78.6 82.9 84.7 74.9 84 91.2 84.4 68.2 76 75.8 74.6 77.3 79.8 69.2 82.9 74.6 71.7 76.7 80 82.2 91.8 74.9 72.7 74.8 84 80.6 67.6 71.7 79.6 81.2 78.2 83.7 82.2 71.4 What is the mean of this data set? (Report answer using the rules suggested in class: 1 more d.p. than the data.)M=What is the standard deviation of this data set? (Report answer using the rules suggested in class: 2 more d.p. than the data.)SD=
- Here is a sample data set (n = 48) that is nearly normal. 51 52 44.4 46.9 48.2 48.8 52 52.4 52.4| 53.4 51 53.5 54.3 55.1 57.3 58.2 58.4 58.6 58.6 58.8 59.2 60.5 60.8 61.4 61.8 62.7 63.3 63.5 64.2 65.7 65.7 66.2 66.9 67.6 69.8 70.3 70.7 72.7 73.2 67 68.3 74 How many outliers are in this data set? ans = 52 57.3 59.8 63.5 68 77.8Mouse weights. Find the mean and median for the data in the following table. Interval 41.5-43.5 43.5- 45.5 45.5- 47.5 47.5- 49.5 49.5 - 51.5 51.5-53.5 53.5 - 55.5 55,5 - 57.5 57.5-59.5 Frequency 12 18 21 18 16 6. mean = | (Round to two decimal places if needed.) 2.The following bivariate data set contains an outlier. x y 74.8 -4.1 64.8 22.7 63.4 26.8 83.5 89.7 67 18 68.4 95.5 57.1 29.6 74.6 134.1 66.9 139.6 73.5 71.5 78.8 48.6 82.6 111.2 81.4 72.2 54.9 -16.7 169.3 -485.6 What is the correlation coefficient with the outlier?rw = What is the correlation coefficient without the outlier?rwo = For the next questions, I want you to consider that there is more than the existence or non-existence of correlation. You can have: Strong positive correlation Moderate positive correlation No correlation Moderate negative correlation Strong negative correlation Would inclusion of the outlier change the evidence for or against a significant linear correlation at 5% significance? No. Including the outlier does not change the evidence regarding a linear correlation. Yes. Including the outlier changes the evidence regarding a linear correlation. Would you always draw the same conclusion to the above question with the…
- 5:23 Pulse = 101 of ... 3.00-3.79 3.80-4.59 4.60-5.39 5.40-6.19 6.20-6.99 Pulse > 11 5 3 0 1 Chosen classes can vary. Aa 34. Twenty-nine executives reported the number of telephone calls made during a randomly selected week as shown here. Construct a stem and leaf plot for the data and analyze the results. 22 14 12 14 12 9 54 9 54 12 16 12 12 14 49 10 14 8 21 37 28 36 22 9 33 58 31 41 19 3 18 25 28 52 35. The National Insurance Crime Bureau reported that these data represent the number of 51 GWhat is the slope of the median median line for the dataset in this table?At the .05 significance level, does the data below show significant correlation? x y 3 12.87 4 13.66 5 17.95 6 23.44 7 15.93 8 13.62 9 27.91
- 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.Suppose the data represent the inches of rainfall in April for a certain city over the course of 20 years. 0.16 1.78 3.76 5.42 D 5.72 6.14 6.49 Determine the quartiles. 0.61 1.05 1.28 1.43 2. 18 3.86 2.41 4.32 2.82 4.72 3.28 4.96 6.81 What are the quartiles? (Round to three decimal places as needed.) Enter your answer in the answer box and then click Check Answer. 2 parts remaining Check Answer Clear All 441 A OH A * 2/27/20 P Type here to search Panasonic Prise Systo F8 F9 F1 F11 Lock F5 F6 F7 F4 %23 4 1 A1 2 47 (4 15) TabAre there any mild outliers in the college students data? Show all work. Construct and label a modified boxplot for the college students data.