13.1 The Correlation Coefficient r
Bivariate data and scatter plots, condensed into one number between -1 and 1 that reports the strength and direction of a straight-line association.
Introductory Business Statistics 2e, 13.1 The Correlation Coefficient r
10 exercises
13.1 Exercise 1
In order to have a correlation coefficient between traits A and B, it is necessary to have:
- one group of subjects, some of whom possess characteristics of trait A, the remainder possessing those of trait B
- measures of trait A on one group of subjects and of trait B on another group
- two groups of subjects, one which could be classified as A or not A, the other as B or not B
- two groups of subjects…
13.1 Exercise 2
Define the Correlation Coefficient and give a unique example of its use.
13.1 Exercise 3
If the correlation between age of an auto and money spent for repairs is +.90
- 81% of the variation in the money spent for repairs is explained by the age of the auto
- 81% of money spent for repairs is unexplained by the age of the auto
- 90% of the money spent for repairs is explained by the age of the auto
- none of the above
13.1 Exercise 4
Suppose that college grade-point average and verbal portion of an IQ test had a correlation of .40. What percentage of the variance do these two have in common?
- 20
- 16
- 40
- 80
13.1 Exercise 5
True or false? If false, explain why: The coefficient of determination can have values between -1 and +1.
13.1 Exercise 6
True or False: Whenever r is calculated on the basis of a sample, the value which we obtain for r is only an estimate of the true correlation coefficient which we would obtain if we calculated it for the entire population.
13.1 Exercise 7
Under a "scatter diagram" there is a notation that the coefficient of correlation is .10. What does this mean?
- plus and minus 10% from the means includes about 68% of the cases
- one-tenth of the variance of one variable is shared with the other variable
- one-tenth of one variable is caused by the other variable
- on a scale from -1 to +1, the degree of linear relationship between the two variabl…
13.1 Exercise 8
The correlation coefficient for X and Y is known to be zero. We then can conclude that:
- X and Y have standard distributions
- the variances of X and Y are equal
- there exists no relationship between X and Y
- there exists no linear relationship between X and Y
- none of these
13.1 Exercise 9
What would you guess the value of the correlation coefficient to be for the pair of variables: "number of man-hours worked" and "number of units of work completed"?
- Approximately 0.9
- Approximately 0.4
- Approximately 0.0
- Approximately -0.4
- Approximately -0.9
13.1 Exercise 10
In a given group, the correlation between height measured in feet and weight measured in pounds is +.68. Which of the following would alter the value of r?
- height is expressed centimeters.
- weight is expressed in Kilograms.
- both of the above will affect r.
- neither of the above changes will affect r.
Adapted from Introductory Business Statistics 2e © 2023 Rice University. Licensed under CC BY 4.0. Source: Introductory Business Statistics 2e. Imported at revision 50ec917.