In a regression and correlation analysis, if
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
The sign ( or ) of a correlation coefficient is based on whether as one variable increases, the other variable tends to increase or decrease. Which of the following best describes this relationship?
A
A sign means that as one variable increases, the other variable also increases.
B
The sign is unrelated to the direction of the relationship between the variables.
C
A sign means that both variables always remain constant.
D
A sign means that as one variable increases, the other variable decreases.
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 sign of the correlation coefficient indicates the direction of the relationship: a positive sign means both variables tend to increase together, while a negative sign means one variable tends to increase as the other decreases.
Recognize that a positive correlation does not imply causation, but simply that the variables move in the same direction.
Note that the statement 'a positive sign means that as one variable increases, the other variable also increases' correctly describes the direction indicated by a positive correlation coefficient.
Eliminate incorrect options by understanding that the sign is directly related to the direction of the relationship, variables do not always remain constant with a negative sign, and a positive sign does not mean the variables move in opposite directions.
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