Here is a bivariate data set:| x | y ||-------|--------|| 60.4 | 16.7 || 59.3 | -28.7 || 29.2 | 110.3 || 36.2 | -12.5 || 22.5 | 13.4 || 31.5 | 103.6 || 56.6 | 37.1 || 39.5 | 14.5 || 29.9 | 110.6 || 52.3 | 69.2 || 39.5 | 84.5 || 45.1 | 66.6 || 45.6 | 5 || 35 | 43.4 || 50.1 | 106.3 || 49.4 | 37.3 || 33.3 | 38 || 79.6 | 46.9 || 54.6 | 45.4 || 65.3 | 105.4 |Find the correlation coefficient and report it accurate to two decimal places.r = [___]

Answered: Here is a bivariate data set. X y 60.4…

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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re is a bivariate data set. x y 24.8 12.9 35.2 39.9 -1.9 -21 49.5 39.4 29 35.7 34.5 23.8 25.8 12.3 48.7 85.2 23 3.1 23.4 22.7 22.9 3.2 41.7 41.2 36.4 4.9 21.3 23.4 -0.7 5.5 34.8 79.7 Find the correlation coefficient and report it accurate to three decimal places.r = What proportion of the variation in y can be explained by the variation in the values of x? Report answer as a percentage accurate to one decimal place.r² = %
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.)
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?
Here is a bivariate data set. x y 20.9 34.2 31.4 144.9 44.3 84.7 55.4 79.8 58.9 50.8 68.7 -74.4 39.5 117.7 58.7 -117.6 71.6 -74.3 23.1 109 36.6 79.9 54.4 -33 62.2 -121 78.5 -81.9 77.8 -16.1 56.4 -103.7 This data can be downloaded as a *.csv file with this link: Download CSVFind the correlation coefficient and report it accurate to three decimal places.r = What proportion of the variation in y can be explained by the variation in the values of x? Report answer as a percentage accurate to one decimal place.R² = %
Here is a bivariate data set in which you believe y to be the response variable. x y 57.3 72.6 45.4 53.7 42.4 59.5 49.3 61.2 146.9 66.9 31.7 38.4 43.7 54.3 49.9 64.2 32.5 48.5 40.4 56.5 Make a scatter plot of this data. Which point is an outlier?(Enter as an ordered pair.)Find the regression equation for the data set without the outlier. (Enter as an equation in slope-intercept form with parameters rounded to three decimal places.)Find the regression equation for the data set with the outlier. (Enter as an equation in slope-intercept form with parameters rounded to three decimal places.)
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?
Please help.
Here is a bivariate data set. x y 77.8 -13.6 62.8 -123.2 27.7 110.2 29.9 106.7 35.9 77.1 26.8 177.2 42.1 -135.4 54.6 -59.1 53.1 118.9 40.8 81.1 42.1 24.5 49.9 -41.1 17 73.5 45.1 213.1 28.4 -111.4 64.5 16.7 59 116.9 59.6 -91.7 52.9 35.2 60.5 -10.3 Find the correlation coefficient and report it accurate to three decimal places. r =
Consider the data set below. 1.6 1.8 2.3 2.3 2.3 2.5 2.1 2.4 2.2 2.5 2.3 2.5 2.6 2.6 2.6 2.9 3.0 2.7 3.1 3.5 3.3 3.5 3.2 4.0 3.9 3.9 4.4 4.1 4.2 4.9 4.8 4.8 4.9 5.4 5.1 5.5 6.0 6.0 5.6 6.0 5.9 5,8 5.7 5.6 5.6 5.8 6.4 6.5 6.4 6.2 A relative frequency distribution of the data is given below. 0.2 0.1 1.6 2.1 2.6 3.13.6 414.6 5.1.5,6 6.1 6.6 What fraction of the measurements are less than 5.17 (Enter your answer as a fraction.) Relative Frequency
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 =
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 4 5 14 18 21 15 16 5 2 mean = ______. (Round to two decimal places if needed.)
The following bivariate data set contains an outlier. X y 69.9 284.1 65.2 -415.4 56.4 1082.2 89.3 86.3 52.9 -64.7 31.9 283.3 63.7 723 84.8 -250.2 77.6 -664.5 84.3 -758.3 62.8 319.1 56.9 233.3 87.3 291 47.1 267 261.5 30.1 What is the correlation coefficient with the outlier? rw Two What is the correlation coefficient without the outlier? [Round your answer to three decimal places.] = [Round your answer to three decimal places.] Would inclusion of the outlier change the evidence for or against a linear correlation? 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.

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