3. The table below gives the ranking of the top CEO'sbonus payments for ten Companies based in Muscatalong with the ranking of their profits. Rank 1 implieshighest bonus or profit, rank 10 is lowest bonus orprofit.CompanyCEO BonusCompany profitA131D4E58.F6.776.H81094J109.Use the Spearman's rank correlation test to determinewhether a significant degree of positive rank correlationexists, using a = 0.1 as the desired significance level.Clearly state the conclusion to your hypothesis test.Use Spearman's Rank Correlation Test (a = 10%) to testthe hypothesis3.

3. The table below gives the ranking of the top CEO's bonus payments for ten Companies based in Muscat along with the ranking of their profits. Rank 1 implies highest bonus or profit, rank 10 is lowest bonus or profit. Company CEO Bonus Company profit A 1 3 1 4 E 8. F 6. 7 7 6. H 8 10 9. 10 9. Use the Spearman's rank correlation test to determine whether a significant degree of positive rank correlation exists, using a = 0.1 as the desired significance level. Clearly state the conclusion to your hypothesis test. Use Spearman's Rank Correlation Test (a = 10%) to test the hypothesis %3D

3. The table below gives the ranking of the top CEO's bonus payments for ten Companies based in Muscat along with the ranking of their profits. Rank 1 implies highest bonus or profit, rank 10 is lowest bonus or profit. Company CEO Bonus Company profit A 1 3 1 4 E 8. F 6. 7 7 6. H 8 10 9. 10 9. Use the Spearman's rank correlation test to determine whether a significant degree of positive rank correlation exists, using a = 0.1 as the desired significance level. Clearly state the conclusion to your hypothesis test. Use Spearman's Rank Correlation Test (a = 10%) to test the hypothesis %3D

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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750 820 900 620 650 390 Monthly income (x):780 360 Net saving: (v) 980 250 84 51 91 60 68 62 86 58 53 47
11. Why doesn't correlation equal causation?
In running a Pearson correlation, you notice that there are a few outliers. Please describe the next course of action, if any, for the dataset and explain your reasoning.
The accompanying table shows the earnings per share (in dollars) and the dividends per share (in dollars) for 6 companies in a recent year. Complete parts (a) through (d) below. Click here to view the data table. Click here to view the table of critical values for the Pearson correlation coefficient. (a) Display the data in a scatter plot. Choose the correct.graph below. OA. OB. В. Oc. OD. 3- 9- Q Q 2- 6- 6- 3- 3- 04 3. Eamings per share (S) Eamings per share ($) 0. Eamings per share (S) Eamings per share (S) (b) Calculate the sample correlation coefficient r. - X Data Table (Round to three decimal places as needed.) (c) Describe the type of correlation, if any, and interpret the correlation in the context of the data. Earnings per share, x Dividends per share, y O 1.36 1 There is V linear correlation. 4.3 0.59 3.56 8.27 1.74 2.47 Interpret the correlation. Choose the correct answer below. 1.19 0.67 1.6 2.82 O A. Increases in companies' eamings per share cause their dividends per share…
. Dr. Hafen is doing research on the effects of study time (how many minutes students study) on test performance (their score on an exam). He hypothesizes that the amount of study time will impact an individual’s performance on the exam. Then Dr. Hafen collects data on 100 students. He collects data on their ‘study time’ and their ‘exam performance’, then runs a Pearson correlation. In your own words, please describe what Dr. Hafen’s null hypothesis would be and what Dr. Hafen’s alternative hypothesis would be. If Dr. Hafen makes a Type I error, what would that mean in the context of this study? If he makes a Type II error, what would that mean in the context of this study?
Q3. An aluminum company summarized their gross sales in national, regional and international. From the data below, compute and graph the correlation coefficient r_from MS Excel. National 90.29 88.36 93.69 102.34 77.11 77.84 Gross Sales (in $millions) Regional 317.56 261.99 249.54 290.01 292.05 301.46 International 976.46 878.99 795.54 896.03 938.47 934.60
Find the coefficient of correlation between the sales and expenses of the following 10 firms: Firms Sales ('000) : 1 2 3 55 4 6. 65 5 7 9 10 60 50 8 : 50 50 60 65 65 60 Еxpenses ('000) :11 13 14 16 16 15 15 14 13 13
A personnel manager wants to find out if a test carried out during an employee’s interview and a skills assessment at the end of basis training is a guide to performance after working for the company for one year. The table below shows the results of the interview test of 10 employees and their performance after one year. Please provide the Pearson r correlation coefficient for the indicated data. How would you rate the correlation coefficient (strong, moderate, weak)? Employee A B C D E F G H I J Interview test, x % 65 71 79 77 85 78 85 90 81 62 Performance after one year, y % 65 74 82 64 87 78 61 65 79 69
You wish to determine if there is a linear correlation between the age of a driver and the number of driver deaths. The following table represents the age of a driver and the number of driver deaths per 100,000. Use a significance level of 0.05 and round all values to 4 decimal places. Driver Age Number of Driver Deaths per 100,000 65 26 33 25 38 34 42 30 17 34 80 20 30 35 71 29 65 28 50 30 Но: р %3D 0 На: р 2 0 Find the Linear Correlation Coefficient r = Find the p-value p-value The p-value is O Less than (or equal to) a O Greater than a The p-value leads to a decision to O Reject Ho О Аcсеpt Ho O Do Not Reject Ho The conclusion is There is a significant linear correlation between driver age and number of driver deaths. O There is insufficient evidence to make a conclusion about the linear correlation between driver age and number of driver deaths. O There is a significant negative linear correlation between driver age and number of driver deaths. O There is a significant positive…