The following data give the marks obtained by10 students in Accountancy and Statistics:R. No.АссоuntancyStatistics35907040954060808050145706530904050758560Find the coefficient of correlation and interpret it.234567880

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Answered: The following data give the marks…

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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6. The following table shows the marks of 12 students in Accounts and' Q.T. . Determine the coefficient of correlation. Marks in 65 40 35 75 65 80 35 20 85 65 55 33 ассоuntancy Marks in Q.T 30 55 68 28 76 25 80 85 2035 45 65
) Find the correlation between social intelligence score obtained with the obtained by Dutt Self-Concept inventory for the following data. Social Intelligence test and self concept scores Test 1 Test 2 (Social Intelligençe) (Self-Concept) 80 112 78 98 56 82 45 78 48 56 72 78 68 79 57 62 65 87 61 88
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A. Compute the covariance between first weekend gross and national gross, first weekend gross and worldwide gross, and national gross and worldwide gross. Compute the covariance between first weekend gross and national gross. B. Compute the coefficient of correlation between first weekend gross and national gross, first weekend gross and worldwide gross, and national gross and worldwide gross. Compute the coefficient of correlation between first weekend gross and national gross. C. Which is more valuable in expressing the relationship between first weekend gross, national gross, and wordwide gross, the covariance or the coefficient of correlation? Explain. 1.The correlation coefficient is more valuable for expressing the relationship between first weekend gross, national gross, and worldwide gross because it can prove that there is a causation effect between first weekend gross, national gross, and worldwide gross. 2. The correlation coefficient is more valuable for expressing the…
5. Draw a histogram for the following data. Weekly wages in Rupees Number of workers 10-15 7 15-20 19 20-25 27 25-30 15 30-40 12 40–60 12 60–80 8.
write down the eight famous steps that are used to conduct correlation Geography Population Government Expenditure ($) City of Kenai 7,551 14,099,000 City of Wasilla 8,972 13,629,000 City of Foley 16,741 27,753,000 City of Hoover 84,100 93,696,000 City of Prattville 35,107 26,955,000 City of Hot Springs 36,711 10,477,000 City of Avondale 80,631 45,937,000 City of Coolidge 12,073 9,521,000 City of Douglas 16,764 13,096,000 City of Sedona 10,209 14,908,000 City of Tempe 174,708 186,195,000 City of Baldwin Park 76,511 26,460,000 City of Bell Gardens 42,805 25,869,000 City of Camarillo 66,630 32,828,000 City of Campbell 40,788 42,043,000 City of Dixon 19,144 14,700,000 City of El Cerrito 24,646 31,313,000 City of Fort Bragg 7,260 8,475,000 City of Half Moon Bay 12,281 8,781,000 City of Hesperia 92,664 26,757,000 City of Lathrop 20,331 19,195,000 City of Newark 44,677 41,230,366 City of Ontario 169,389 203,191,000 City of Pasadena 140,268…
a. Correlation coefficient between hours spend on using mobile per day and hours spend on reading books per day. b. Draw the scatter diagram of the spending hours on using mobile and reading books per day. c. Give the statistical meaning of the relationship between the spending hours on using mobile and reading books per day.
Listed are 4 correlations. Put them in order showing the highest to lowest degree of relationship: +0.08 -0.27 +0.99 -0.48
The following data provides the monthly streaming bill for a random sample of 20 households along with the number of televisions in the household (TV), the number of people living in the household (People). and the number of years that household has been a streaming customer (Years). Calculate the adjusted multiple coefficient of determination for predicting the streaming bill. Place the answer in decimal points.
Five students provided data regarding the number of hours they spent on studying (TimeStudy) and their GPA. The data are as follows. Answer the following questions. TimeStudy GPA Student 1 2.00 3.50 Student 2 4.00 3.70 Student 3 5.00 3.30 Student 4 3.00 2.60 Student 5 4.00 3.40 a) According to the SPSS table, what can you conclude regarding the correlation between TimeStudy and GPA? Report the conclusions in proper formats. b) By fitting a linear regression line to represent the relationship between TimeStudy and GPA, the regression line function is ??? = ?. ?? + ?. ?? × ?????????. See the figure Calculate (by hand) the SSresidual.
12. A student took a random sample of 10 students enrolled in an accounting class last semester, asking each to report the total amount of time spent studying for the course and the grade that the student received. The data is listed below: Study Time Grade 40 77 42 63 37 79 47 86 25 51 44 78 41 83 90 48 35 65 28 47 a. Calculate the covariance. b. Calculate the coefficient of correlation. x C. Calculate the coefficient of determination. Kd. Determine the least squares line. What do the statistics calculated above tell you about the relationship between the marks and study time? е.

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The following data give the marks obtained by 10 students in Accountancy and Statistics: R. No. Ассоuntancy Statistics 35 90 70 40 95 40 60 80 80 50 1 45 70 65 30 90 40 50 75 85 60 8 Find the coefficient of correlation and interpret it. 234567 0000