If the correlation coefficient between and is equal to , which of the following statements is true?
Table of contents
- 1. Intro to Stats and Collecting Data1h 14m
- 2. Describing Data with Tables and Graphs1h 55m
- 3. Describing Data Numerically2h 5m
- 4. Probability2h 16m
- 5. Binomial Distribution & Discrete Random Variables3h 6m
- 6. Normal Distribution and Continuous Random Variables2h 11m
- 7. Sampling Distributions & Confidence Intervals: Mean3h 23m
- Sampling Distribution of the Sample Mean and Central Limit Theorem19m
- Distribution of Sample Mean - Excel23m
- Introduction to Confidence Intervals15m
- Confidence Intervals for Population Mean1h 18m
- Determining the Minimum Sample Size Required12m
- Finding Probabilities and T Critical Values - Excel28m
- Confidence Intervals for Population Means - Excel25m
- 8. Sampling Distributions & Confidence Intervals: Proportion1h 25m
- 9. Hypothesis Testing for One Sample3h 29m
- 10. Hypothesis Testing for Two Samples4h 50m
- Two Proportions1h 13m
- Two Proportions Hypothesis Test - Excel28m
- Two Means - Unknown, Unequal Variance1h 3m
- Two Means - Unknown Variances Hypothesis Test - Excel12m
- Two Means - Unknown, Equal Variance15m
- Two Means - Unknown, Equal Variances Hypothesis Test - Excel9m
- Two Means - Known Variance12m
- Two Means - Sigma Known Hypothesis Test - Excel21m
- Two Means - Matched Pairs (Dependent Samples)42m
- Matched Pairs Hypothesis Test - Excel12m
- 11. Correlation1h 24m
- 12. Regression1h 50m
- 13. Chi-Square Tests & Goodness of Fit2h 21m
- 14. ANOVA1h 57m
11. Correlation
Correlation Coefficient
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Join thousands of students who trust us to help them ace their exams!Watch the first videoMultiple Choice
Which of the following is not measured or described by a (correlation coefficient)?
A
The direction of the linear relationship between two variables
B
The strength of the linear relationship between two variables
C
Whether the relationship between two variables is (positive) or (negative)
D
The slope of the regression line between two variables ()
Verified step by step guidance1
Understand that the correlation coefficient measures the strength and direction of a linear relationship between two variables.
Recall that the correlation coefficient ranges from -1 to 1, where values close to 1 or -1 indicate a strong linear relationship, and values close to 0 indicate a weak or no linear relationship.
Recognize that the correlation coefficient indicates whether the relationship is positive (both variables increase together) or negative (one variable increases while the other decreases).
Note that the correlation coefficient does not provide information about the slope of the regression line, which quantifies the rate of change between the variables.
Therefore, the slope of the regression line is not measured or described by the correlation coefficient.
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