Chapter 14

Correlation is a measure of
1. cause and effect
2. the intercept
3. the change in y
4. none of these
A correlation coefficient cannot take the value
1. 0
2. -1
3. +1.50
4. 0.5567
A perfect positive relationship is indicated by the correlation coefficient
1. +1
2. 0
3. -1
4. 100%
You have been given the following data for y and x:

You would expect the correlation coefficient that you would calculate to equal
1. +1
2. 0
3. -1
4. any value between -1 and +1
You have been given the following data for y and x:

You would expect the correlation coefficient that you would calculate to equal
1. +1
2. 0
3. -1
4. none of these
A correlation coefficient near +1 would suggest
1. a limited correlation
2. a complete set of data
3. a strong positive relationship
4. a strong negative relationship
A Spearman’s coefficient of rank correlation near to 0 would suggest
1. the need for an alternative test
2. a poor relationship
3. the possibility of a negative relationship
4. the need fro improved measurement
The coefficient of determination of 90% would suggest
1. there is a good explanation of cause and effect
2. there is a limited explanation of cause and effect
3. that most of the variation in the data has been explained
4. there is a lack of explanation of variation in the data
Transformation of the data can
1. improve the quality of the data
2. increase the amount of data
3. improve the fit of a linear relationship
4. identify non-linear relationships
Using a test of significance for the correlation coefficient
1. we may be able to accept the alternative hypothesis that some relationship exists
2. we may be able to accept the null hypothesis that some relationship exists
3. we may be able to reject the null hypothesis that some relationship exists
4. none of the above

Chapter 14

Quiz