Which value of the correlation coefficient indicates a stronger linear relationship: or ?
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 relationships would most likely have the weakest correlation?
A
A person's shoe size and their intelligence quotient ()
B
The amount of rainfall and the water level in a river
C
The number of hours studied and exam scores
D
The outside temperature and the number of ice creams sold
Verified step by step guidance1
Understand what correlation measures: it quantifies the strength and direction of a linear relationship between two variables, ranging from -1 (perfect negative correlation) to +1 (perfect positive correlation), with 0 indicating no linear correlation.
Analyze each pair of variables to assess the expected relationship: for example, the number of hours studied and exam scores are likely positively correlated because more study time generally leads to higher scores.
Consider the nature of the variables in each pair: some pairs, like outside temperature and ice cream sales, tend to have a positive correlation because warmer weather often increases ice cream consumption.
Evaluate pairs where the relationship is less direct or logical: for instance, a person's shoe size and their IQ are unlikely to have any meaningful linear relationship, suggesting a correlation close to zero.
Conclude that the pair with the weakest correlation is the one where the variables are least likely to influence each other or have any systematic association, which in this case is shoe size and IQ.
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