Find Karl Pearson's coefficient of correlation between Age and the Playing Habit13-1414-1515-1616–1717-18Age :No. of Students :20030010050150Players:12418065349918–1919–2020-2121-2222-23Age:No. of students :4002501502575Players:252145811233

Answered: Image /qna-images/answer/84493ca6-ef4a-4b75-9523-854c28a58052.jpg

Answered: Find Karl Pearson's coefficient of…

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

Similar questions

The average remaining lifetimes for men of various ages in a certain country are given in the following table. Average Remaining Lifetimes for Men Age Years Years Age Years 0 74.8 65 17.4 15 59.8 75 11.0 35 42.1 Use the linear correlation coefficient to determine whether there is a strong correlation, at the level Irl > 0.9, between a man's age and the average remaining lifetime for that man. (A graphing calculator is recommended. Round your answer to three decimal places.) r = Yes, there is a strong correlation between a man's age and the average remaining lifetime for that man. O No, there is not a strong correlation between a man's age and the average remaining lifetime for that man.
What is Correlation ? The following marks have been obtained by a class of 7 students in Economics and History. Find Karl Pearson's Coefficient of Correlation from this data : 66 90 89 55 58 44 42 Economics: 58 76 65 58 53 49 56 History:
Subject Extroversion Neuroticism 1 43 49 2 46 53 3 48 67 4 48 57 5 48 56 6 50 48 7 51 60 8 51 41 9 53 51 10 58 47 11 62 41 12 63 51 13 63 30 14 63 28 15 67 55 16 67 47 17 67 39 What is the correlation coefficient for the association of extroversion and neuroticism in personalities.xls? What is the value of Fisher's z-transforation of the correlation coefficient for the association of extroversion and neuroticism in personalities.xls? What is the standard deviation of the sampling distribution of Fisher's z-transformed correlation coefficient for the association of extroversion and neuroticism calculated from the data in personalities.xls?
in Naples, Florida in December 2007. Square Footage, x Asking Price ($000s), y 1148 154 1096 159.9 1142 169 1288 169.9 1322 170 1466 179.9 1344 180 1544 189 1494 189.9 Determine the learo correlation coefficient le there a linear relation between the cauare footage and asking price?
CPI represents a country’s Consumer Price Index and MS represents the country’s Money Supply (in £ billions) over a 10-year period. CPI MS 95 8 99 9 100 10 105 12 110 15 120 20 122 20 123 21 123 21 124 21 Calculate the Pearson correlation coefficient between the two variables. Comment on the strength of the relationship between CPI and MS.
1.) The data in the table below show years of teaching experience and annual salary in dollars for 12 randomly selected mathematics instructors in Illinois colleges/ universities for the 2013/2014 school year. Is there a linear correlation between a mathematics instructor’s years of experience and his or her annual salary? Number of Years 7 9 6 7 11 12 11 3 3 7 9 1 Salary (in Dollars) $48,897.00 $62,866.00 $54,585.00 $56,611.00 $53,541.00 $53,541.00 $47,027.00 $47,970.00 $46,668.00 $48,029.00 $46,735.00 $45,000.00 THE OTHER QUESTION 2.) Does incubation or gestation time affect an animal’s average lifespan? Some animals have lifespans that average well over 100 years. The following table lists animals that have some of the longest lifespans on the earth. Is there a correlation between an animal’s gestation/incubation period and its average lifespan in years? Animal: Nile crocodile, Aldabra giant tortoise, Lake sturgeon, Galápagos tortoise, Bowhead whale Average Lifespan (in…
The following table shows the ages of people and the corresponding weight Age(year) 25 40 38 53 40 32 48 59 45 36 Weight (Kgs) 43 52 48 61 63 40 67 72 47 41 Calculate the Spearman’s Rank correlation coefficient and comment.
After gathering data about the number of starfish and measuring the pollution in areas of the ocean you find a negative linear correlation between pollution levels and number of starfish. What can you conclude based on this information? a. There is a confounding variable that is affecting both pollution and starfish. b. As pollution rises the number of starfish falls c. That pollution is causing starfish to die, leading to the negative correlation d. That pollution is supporting starfish, leading to the negative correlation

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS

Find Karl Pearson's coefficient of correlation between Age and the Playing Habit 13-14 14-15 15-16 16-17 17-18 Age: No. of Students : Players: 200 300 100 50 150 124 180 65 34 99 18-19 19–20 20-21 21-22 22-23 Age: No. of students: 400 250 150 25 75 Players: 252 145 81 12 33