1. Two variables have a positive linear correlation. Does the dependent variable increase or decrease as the independent variable increases?
2. Two variables have a negative linear correlation. Does the dependent variable increase or decrease as the independent variable increases?
3. Describe the range of values for the correlation coefficient.
4. What does the sample correlation coefficient r measure? Which value indicates a stronger correlation: r = 0.918 or r = -0.932? Explain your reasoning.
5. Give examples of two variables that have perfect positive linear correlation and two variables that have perfect negative linear correlation.
6. Explain how to determine whether a sample correlation coefficient indicates that the population correlation coefficient is significant.
7. Discuss the difference between r and r.
8. In your own words, what does it mean to say “correlation does not imply causation”?
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