Use spearmans rankcorrelation coefficientRankings of 10 trainees at the beginning (x) and at the end (y) of a certain course are given below:TraineesACDEFHIJ139.71084y3721410

Coefficient correlation : The parametric statistic may be a applied math live of however sturdy a…

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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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1:10 O b A O "Q. * a E (19 For numbers 1 to 3: The thermal condition in a cave is critical for sustaining a bat population. A sudden change in the temperature is related to deaths of bats in hundreds. An attempt to measure the degree of association between the temperature (in °C) and death toll (number of deaths) was done using 20 caves with reported cases of massive death among bats. Assume that temperature and death toll are bivariate normal. Given below is the R software output: > cor.test(temp , death) Pearson's product-moment correlation data: temp and death t - -1.4403, df - 148, p-value - 0.1519 alternative hypothesis: true correlation is not equal to e 95 percent confidence interval: -0.27269325 0.04351158 sample estimates: cor -0.1175698
A study of emergency service facilities investigated the relationship between the number of facilities and the average distance traveled to provide the emergency service. The following table gives the data collected. Average Distance Number of Facilities (miles) 1.67 11 1.11 16 0.82 21 0.62 27 0.50 30 0.47 (a) Develop a scatter diagram for these data, treating average distance traveled as the dependent variable. 1.8 T 35 1.8 1.8 1.6- 1.6- 1.6 30 1.4 1.4 1.4 1.2 25 1.2 1.2 1. 1. 1. 20 0.8 0.8 0.8 0.6 15 0.6 0.6- 0.4 0.4 0.4 10 0.2 0.2 0.2 0. 5 0. 0. 10 15 20 25 30 35 0. 0.2 0.4 0.6 0.8 1. 1.2 1.4 1.6 1.8 5 10 15 20 25 30 35 10 15 20 25 30 35 Number Distance Number Number (b) Does a simple linear regression model appear to be appropriate? Explain. O Yes, the scatter diagram suggests that there is a linear relationship. O No, the scatter diagram suggests that there is a curvilinear relationship. O No, the scatter diagram suggests that there is no relationship. (c) Develop an estimated…
Based on the data shown below, calculate the correlation coefficient (rounded to three decimal places) x y 2 7.4 3 5 4 6.1 5 5.3 6 6.6 7 5.5 8 3.9 9 6.9
The table below summarizes x and y values. Find the sample correlation coefficient, rxy using the formula below or by using calculator regression between x and y? Is there a good linear relationship y 2.73 3.32 4.44 0.5 Ey.cx; – 3) 1 i=1 1/2 7.22 9.34 E0; – £ (x; – F)² 10 11.35 i=1 i=1 15 15.54
A psychologist wants to determine if there is a linear relationship between the number of hours a person goes without sleep and the number of mistakes they make on a simple test. He records the following data: Hours without sleep, x 30 36 48 24 42 30 36 42 Number of MIstakes, y 6 8 15 7 10 7 10 12 Test Ho: p = 0 against H,: p± 0 at a = 0.05. The correlation coefficient r = 0.903 has been computed from the data. a) Give the critical value or values. b) Compute the value of the test statistic.
For a data set of chest sizes (distance around chest in inches) and weights (pounds) of eight anesthetized bears that were measured, the linear correlation coefficient is r = 0.996. Use the table available below to find the critical values of r. Number of Pairs of Data n Critical Value of r 4 0.950 0.878 0.811 7 0.754 8. 0.707 9. 0.666 10 0.632 11 0.602 12 0.576 А. -0.707, +0.707 В. +0.707 С. +0.754 D. -0.707
Based on the data shown below, calculate the correlation coefficient (rounded to three decimal places) x y 1 7.9 2 8.2 3 7.3 4 4.4 5 3.3 6 3.4
Annual high temperatures in a certain location have been tracked for several years. Let X epresent the year and Y he high temperature. Based on the data shown below, calculate the correlation coefficient (to three decimal places) between X nd Y. Use your calculator! x456789101112131415 y9.7577.6510.27.359.47.457.48.059.16.459.4 r=

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Use spearmans rank correlation coefficient Rankings of 10 trainees at the beginning (x) and at the end (y) of a certain course are given below: Trainees A D E F H. I J %3D 1 6 3 9. 5 2 7 10 8 4 8 3 7 2 1 5 9. 4 10 %3D y