1924 1925 1926 1927 1928 1929 1930 1931 1932 19337-22 8-28 -83 10-54 9-461.33 1.34 2.50 2.67 2.78 2.26YearsNumber convicted 7-88 8-12 7.86 7.25 7.447.44of crime1-26 1.24 1.43 1.19Number ofunemployed 1.The figures in the following table give the number of criminalconvictions and the number unemployed (in millions) for the years 1924-33.Find the coefficient of rank correlation.

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Answered: 1. The figures in the following table…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

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An analyst takes a sample of 10 households and records their weekly consumption expenditure (in RM) and weekly household income (in RM). The Pearson coefficient of correlation between weekly consumption expenditure and weekly household income is found to be 0.9563. Therefore, an increase in the weekly household income causes a very high increase in the weekly consumption expenditure. Select one: O True O False
2. The correlation between the price indices of animal feeding-stuffs and home-grown cats in a sample of 60 members is 0.68. Could the observed value have arisen: (a) from an uncorrelated population? (b) from a population in which true correlation was 0-8?
10. Describe the pattern of data that is observed when there is a strong negative correlation between X and Y.
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…
2. A researcher measures the relationship between temperature and freeway traffic, with a correlation of -0.61. We would say this relationship is: Negative and Moderate Negative and Strong Positive and Moderate Positive and Weak O o o O
Two items R and S belong to one test of numerical ability. Item R is passed by 50 and failed by 40 students in a group of 90 stu- dents. Item S is passed by 60 and failed by 30 students in the same sample. Find the correlation between R and S.
Explain Graphically by drawing hypothetical disgrams when the coefficient of correlation between two variables is (a) perfect positive, (b) perfect Negative, (c) zero?
The older that an adult tends to be before deciding to get married, the longer the person's marriage tends to last. What type of correlation exists between age of marriage and the number of years the marriage lasts? A. positive B. negative
A manager wishes to determine the relationship between the number of years the manager's sales representatives have been with the company and their average monthly sales (in thousands of dollars). Calculate the linear correlation coefficient.Years with company, x: 6,7,14,11,12,19,7,5,15Sales, y: 21,23,68,52,55,51,38,45,110
Suppose data are collected concerning the weight of a person in pounds and the number of calories burned in 30 minutes of walking on a treadmill at 3.5 miles per hour. How would the value of the correlation coefficient, r, change if all of the weights were converted to kilograms?
Explain the concept of Range Restriction, and the issue it may pose to correlation statistics

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1. The figures in the following table give the number of criminal convictions and the number unemployed (in millions) for the years 1924-33. Find the coefficient of rank correlation.