The coefficient of rank correlation of the marks obtained by 10 students in statisticsand accountancy was found to be 0.8. It was later discovered that the difference inranks in the two subjects obtained by one of the students was wrongly taken as 7instead of 9. Find the correct coefficient of rank correlation.Ques.5From the following data, compute the rank correlation.X8268756168738568Y8171716862698070Ques.6 Difference between Correlation and Regression.Ques.7Find the two regression equation of X on Y and Y on X from the following data:X :10 12 16 11 15 14 20 22Y: 15 182823 14 20 17 25Ques.8After investigation it has been found the demand for automobiles in a city dependsmainly, if not entirely, upon the number of families residing in that city. Below are thegiven figures for the sales of automobiles in the five cities for the year 2019 and thenumber of families residing in those cities.CityNo. of Families (in lakhs): X Sale of automobiles (in '000): Y7025.2BelagaviBangalore7528.6Hubli8030.2Kalaburagi6022.3Mangalore9035.4Fit a linear regression equation of Y on X by the least square method and estimate thesales for the year 2020 for the city Belagavi which is estimated to have 100 lakhfamilies assuming that the same relationship holds true.

Hi! Thank you for the question, As per the honor code, we are allowed to answer one question at a…

Answered: The coefficient of rank correlation 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

what does it means that the variable are positively correlated?
Dr. Watts is a pediatrician. His group did some research on the sleep habits of children less than 24 months old. They found a weak negative correlation between a child’s age and the number of hours per day he or she slept. What does this mean? As a child’s age increases, the hours of sleep decreases in a nearly perfect pattern. As a child’s age increases, the hours of sleep increases in a nearly perfect pattern. As a child’s age increases, the hours of sleep decreases but the relationship is not perfect. As a child’s age increases, the hours of sleep increases but the relationship is not perfect.
The professor of an introductory statistics course has found something interesting: there is a small correlation between scores on his first midterm and the number of years the test-takers have spent at the university. For the 55 students taking the course, the professor found that the two variables number of years Espa spent by the student at the university and score on the first midterm have a sample correlation coefficient r of about -0.36. Test for a significant linear relationship between the two variables by doing a hypothesis test regarding the population correlation coefficient p. (Assume that the two variables have a bivariate normal distribution.) Use the 0.05 level of significance, and perform a two-tailed test. Then complete the parts below. (If necessary, consult a list of formulas.) (a) State the null hypothesis H and the alternative hypothesis H . Aa 0, B H, :0 H : O=0 (b) Determine the type of test statistic to use. (Choose one) ▼ O
The Coefficient or rank correlation of the marks obtained by 10 students in two particular subjects was found to be 0.5. It was later discovered that the difference in ranks in two subjects obtained by one of the students was wrongly taken as 3 instead of 7. What should be the correct value of coefficient of rank correlation,
What are some of the possible reasons for large correlations betwen a pair of variables, X and Y?
Suppose the correlation between height and weight for adults is +0.40.What proportion (or percent) of the variability in weight can be explained by the relationship with height?
Suppose that ten friends get together to go bowling. Also suppose that each person's score is 15 points lower for their second game than for their first game. Report the value of the correlation coefficient between game 1 score and game 2 score, with one decimal place of accuracy.
A nutritionist collects data from 25 popular breakfast cereals. For each cereal, the number of calories per serving is plotted on the x-axis against the number of milligrams of sodium on the y-axis. The value of r for the resulting scatterplot is 0.83. How would the value of the correlation coefficient, r, change if sodium was plotted on the x-axis and calories plotted on the y-axis? The value of r would increase. The value of r would not change. The value of r would change to –0.83. The value of r could increase or decrease, depending of the strength of the new relationship.
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?
Once the correlation coefficient is known, how can we find the amount of the shared variance?

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