Here is a bivariate data set. x y 74 50.9 60.7 56.8 75 62.4 81.5 46.6 61.5 45.6 62.9 59.7 71.9 47.9 66.5 60.4 65.8 52.3 47.2 45.6 64.8 66.1 75.1 63.5 72.2 49.3 69.2 50.9 59.7 45.8 62.1 59 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 = %

Here is a bivariate data set. x y 74 50.9 60.7 56.8 75 62.4 81.5 46.6 61.5 45.6 62.9 59.7 71.9 47.9 66.5 60.4 65.8 52.3 47.2 45.6 64.8 66.1 75.1 63.5 72.2 49.3 69.2 50.9 59.7 45.8 62.1 59 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 = %

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

x	y
74	50.9
60.7	56.8
75	62.4
81.5	46.6
61.5	45.6
62.9	59.7
71.9	47.9
66.5	60.4
65.8	52.3
47.2	45.6
64.8	66.1
75.1	63.5
72.2	49.3
69.2	50.9
59.7	45.8
62.1	59

Similar questions

Calculate the coefficient of skewness for the data referring to 50 students. 173.5 171.4 178.2 165.7 180.0 174.6 176.0 168.5 180.1 165.9169.0 175.4 176.5 164.0 167.5 158.4 168.0 172.8 172.5 173.2170.5 180.5 171.8 184.3 178.5 172.0 174.5 173.0 176.3 186.4167.5 165.7 165.0 178.0 177.5 181.0 179.5 174.6 173.2 172.9170.5 181.3 160.6 168.5 170.0 171.0 176.5 178.9 180.0 169.0
We will rank the y-values of the following data set: x y -2 -11 -0.8 -11.9 0.7 11.7 1.7 12.2 2.4 1.8 4.6 9.4 6 11.9 7.8 33.4 8.4 27 9.7 21.5 The scatterplot of the data looks like this: 123456789101112-1-2-3-4-5123456789101112131415161718192021222324252627282930313233343536-1-2-3-4-5-6-7-8-9-10-11-12-13-14 Fill in the following table: x y x-rank y-rank -2 -11 1 -0.8 -11.9 2 0.7 11.7 3 1.7 12.2 4 2.4 1.8 5 4.6 9.4 6 6 11.9 7 7.8 33.4 8 8.4 27 9 9.7 21.5 10
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.)
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.)
Frequency 344.7 389.1 394.3 411.8 412.1 431.9 433.5 445 447.4 452.3 465.4 466 469.2 469.2 469.2 469.8 470.6 471.7 471.8 474.9 483 483.1 485 490.4 494.8 495.8 496.8 496.8 500 506.8 512.5 516.6 520.1 520.4 524.8 534.8 545.3 547.4 558.1 556.4 558.1 558.1 580.6 564.4 572.4 577.4 585 586.2 587.8 588.2 593.8 606.1 607.8 611.4 = 18 16 14 12 10 8 6 4 2 300 350 400 450 500 Find the first quartile for this data set. Q₁ length (cm) = 550 600 650 Find the third quartile for this data set. Q3² = 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 high
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 =
Two companies produce small motorcycles of varying quality. An important measure of quality is the top speed the motorcycle can obtain on a flat surface. Do the following data provide evidence that the average top speed of cycles from these two companies differ? Report the p-value to two decimal places. Do not assume equal variances. Top Speed in mph from Company 1 Top Speed in mph from Company 2 21.5 53.0 20.3 40.1 49.6 49.3 43.8 51.6 50.5 52.6 52.5 50.6 47.8 37.0 33.2
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.)
Here is a bivariate data set in which you believe y to be the response variable. x y 75 22.7 87.9 -17.6 54.3 22.8 58.5 42.6 53.6 71.4 -188.9 67.9 55.7 63.2 26.4 72.5 83.4 -14.4 47.2 39.1 46.7 67.6 66.7 24.4 82.7 -0.8 63.2 22.8 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.)