Here is a bivariate data set.y16.760.459.3 -28.729.2 110.336.2 -12.522.5 13.431.5 103.656.6 37.139.514.529.9 110.652.369.239.584.566.645.145.63543.450.1106.349.437.333.33879.646.954.645.465.3 105.4Find the correlation coefficient and report it accurate to two decimal places.

Solution-: We want to find correlation coefficient =?

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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Calculate the Correlation Coefficient to 3 decimal places. x 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15 y 9.52, 11.68, 12.04, 11.4, 13.06, 14.32, 13.58, 17.54, 16.4, 20.06, 18.02, 19.28, 21.04, 22.4
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.
Here is a bivariate data set. 35.9 78.4 35.5 73.3 38 44.8 40.7 47.5 37.4 55.9 32.4 73.7 29.7 73.5 Find the correlation coefficient and report it accurate to three decimal places. Question Help: Message instructor Submit Question 9MB du
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?
Here is a bivariate data set. y 30.4 1.4 28.5 37.7 34.4 46.8 47.9 29.8 23.3 6.3 46.3 32.9 56.6 64.6 42.1 35.1 39.7 41.4 58.5 69.9 Find the correlation coefficient and report it accurate to three decimal places. r =
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.)
You wish to determine if there is a linear correlation between the two variables at a significance level of α=0.02α=0.02. You have the following bivariate data set. x y 25.2 64.3 15.3 79.6 39 49.8 30 75.1 14.8 82.2 15.7 69.9 4.3 92.5 17.9 84.4 13.4 77.6 18.4 74.4 25 78.1 24.4 65 23.7 69.7 10.9 89.1 31.3 65.3 20.6 82.4 20.4 81.1 29 68.2 13.9 92 8.7 88.4 5.3 93.4 What is the correlation coefficient for this data set? r = (report answer accurate to at least 3 decimal places)What is the p-value for this correlation coefficient? p-value =
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?
Two companies produce widgets of varying quality. An important measure of quality is the number of days the widgets can go before they need to be replaced. Do the following data provide evidence that the quality of widgets from the two companies differ? Round the p-value to three decimal places. Do not assume equal variances. Widget Life in Days from Company 1 Widget Life in Days from Company 2 12.0 52.2 14.0 45.8 48.4 44.6 47.0 57.5 50.4 44.2 57.4 50.8 30.8 43.0 30.0
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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