# Explain the difference between simple correlation and multiple correlation Simple and multiple correlations are two classifications of correlation. However, Correlation is simple if it concerns relationship between two variables while it is multiple if it concerns the relationship among three or more variables.

Explain the difference between simple correlation and multiple correlation.

Simple and multiple correlations are two classifications of correlation. However, Correlation is simple if it concerns relationship between two variables while it is multiple if it concerns the relationship among three or more variables.

Explain four (4) levels of measurement and give one (1) example each

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Evaluation

1. Simple correlation assesses the relationship between _______ variables.
(a) one
(b) three
(c) multiple

2. Multiple correlation involves the relationship among _______ variables.
(a) two
(b) three or more
(c) five or more

3. In simple correlation, the focus is on the interaction between _______ variables.
(a) independent
(b) dependent
(c) control

4. When analyzing multiple correlation, researchers examine the collective impact of _______ variables.
(a) only two
(b) three or more
(c) unrelated

5. Simple correlation helps us understand how two variables _______ together.
(a) remain constant
(b) change simultaneously
(c) stay independent

6. Multiple correlation explores how a set of _______ variables jointly influence an outcome.
(a) unrelated
(b) dependent
(c) extraneous

7. The main difference between simple and multiple correlation is the number of _______ being studied.
(a) observations
(b) variables
(c) participants

8. Simple correlation examines the _______ relationship between two variables.
(a) indirect
(b) linear
(c) categorical

9. In multiple correlation, researchers aim to identify _______ relationships among variables.
(a) direct and indirect
(b) only direct
(c) only indirect

10. Simple correlation is suitable for analyzing relationships that are _______.
(a) complex
(b) linear
(c) causal

11. Multiple correlation is used when researchers want to understand the combined impact of _______ variables on an outcome.
(a) random
(b) unrelated
(c) multiple

12. The “r” value in simple correlation represents the _______ between two variables.
(a) association
(b) causation
(c) prediction

13. In multiple correlation, researchers might employ techniques like _______ to identify significant relationships.
(a) t-tests
(b) chi-square tests
(c) regression analysis

14. Simple correlation is often used in cases where only _______ relationship is of interest.
(a) a direct
(b) an indirect
(c) a linear

15. Multiple correlation takes into account the _______ relationships between multiple variables.
(a) separate
(b) unrelated
(c) interdependent