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Relationship nature of data
This document discusses the nature of variables in relationship questions. It can be determined that the variables are either both scaled, at least one is ordinal, or at least one is nominal. Examples of different relationship questions are provided that fall into each of these categories. The document also provides practice questions for the user to determine which category the variables fall into.
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Relationship nature of data
- 1. What is thenature of the data of the two variables in the relationship question? Both Variables Scaled At least one is Ordinal At least one is Nominal
- 2. • What isthe correlation between driving speed (scaled) and caffeinated drink consumption (scaled)? Both Variables Scaled
- 3. • What isthe correlation between driving speed (scaled) and caffeinated drink consumption (scaled)? Both Variables Scaled At least one is Ordinal • What is the correlation between the rank ordering of states in terms of median income (ordinal) and sense of well being of state residents (scaled)?
- 4. • What isthe correlation between driving speed (scaled) and caffeinated drink consumption (scaled)? Both Variables Scaled At least one is Ordinal • What is the correlation between the rank ordering of states in terms of median income (ordinal) and sense of well being of state residents (scaled)? At least one is Nominal • What is the correlation between political persuasion (democrat/republican) (nominal) and sense of well being (scaled)?
- 5. At least oneis Nominal • What is the correlation between political persuasion (democrat/republican) (nominal) and sense of well being (scaled)? • What is the correlation between political persuasion (democrat/republican) (nominal) and whether they are happy or sad (nominal)? • What is the correlation between driving speed (scaled) and caffeinated drink consumption (scaled)? Both Variables Scaled At least one is Ordinal • What is the correlation between the rank ordering of states in terms of median income (ordinal) and sense of well being of state residents (scaled)?
- 6.
- 7. What is therelationship between rain fall in inches and number of crop failures? Both Variables Scaled At least one is Ordinal At least one is Nominal
- 8. What is therelationship between rain fall in inches and number of crop failures? Both Variables Scaled At least one is Ordinal At least one is Nominal
- 9. What is therelationship between rain fall in inches and number of crop failures? Both Variables Scaled At least one is Ordinal At least one is Nominal • Rain fall in inches is scaled • Number of crop failures is scaled
- 10.
- 11. Is there arelationship between being in Jr. High or High school and having school spirit or not? Both Variables Scaled At least one is Ordinal At least one is Nominal
- 12. Is there arelationship between being in Jr. High or High school and having school spirit or not? Both Variables Scaled At least one is Ordinal At least one is Nominal
- 13. • Being inJr. High or high school is nominal • Having school spirit or not is nominal Is there a relationship between being in Jr. High or High school and having school spirit or not? Both Variables Scaled At least one is Ordinal At least one is Nominal
- 14.
- 15. What is therelationship between graduate student GRE percentile rankings and the number of publications they have while they are students? Both Variables Scaled At least one is Ordinal At least one is Nominal
- 16. What is therelationship between graduate student GRE percentile rankings and the number of publications they have while they are students? Both Variables Scaled At least one is Ordinal At least one is Nominal
- 17. What is therelationship between graduate student GRE percentile rankings and the number of publications they have while they are students? Both Variables Scaled At least one is Ordinal At least one is Nominal • GRE percentile rankings is ordinal • Number of publications is scaled
- 18.
- 19. Is there arelationship between being in Jr. High or High school and the number of tardies? Both Variables Scaled At least one is Ordinal At least one is Nominal
- 20. Is there arelationship between being in Jr. High or High school and the number of tardies? Both Variables Scaled At least one is Ordinal At least one is Nominal
- 21. Is there arelationship between being in Jr. High or High school and the number of tardies? Both Variables Scaled At least one is Ordinal At least one is Nominal • Jr. High or High school is nominal • Number tardies is scaled
- 22. Return to theOriginal Question Both Variables Scaled At least one is Ordinal At least one is Nominal What is the nature of the data of the two variables in the relationship question?