If the coefficient of determination is high, can we conclude that there is a causal relationship between the two variables? Choose the best answer.
Table of contents
- 1. Intro to Stats and Collecting Data1h 14m
- 2. Describing Data with Tables and Graphs1h 56m
- 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 - ExcelBonus23m
- Introduction to Confidence Intervals15m
- Confidence Intervals for Population Mean1h 18m
- Determining the Minimum Sample Size Required12m
- Finding Probabilities and T Critical Values - ExcelBonus28m
- Confidence Intervals for Population Means - ExcelBonus25m
- 8. Sampling Distributions & Confidence Intervals: Proportion2h 10m
- 9. Hypothesis Testing for One Sample5h 8m
- Steps in Hypothesis Testing1h 6m
- Performing Hypothesis Tests: Means1h 4m
- Hypothesis Testing: Means - ExcelBonus42m
- Performing Hypothesis Tests: Proportions37m
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- Link Between Confidence Intervals and Hypothesis Testing12m
- Type I & Type II Errors16m
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- Two Means - Unknown, Unequal Variance1h 3m
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- 11. Correlation1h 24m
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- Linear Regression & Least Squares Method26m
- Residuals12m
- Coefficient of Determination12m
- Regression Line Equation and Coefficient of Determination - ExcelBonus8m
- Finding Residuals and Creating Residual Plots - ExcelBonus11m
- Inferences for Slope31m
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- Quadratic Regression15m
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- 13. Chi-Square Tests & Goodness of Fit2h 21m
- 14. ANOVA2h 28m
11. Correlation
Correlation Coefficient
Multiple Choice
Which value of the correlation coefficient indicates a stronger correlation than ?
A
B
C
D
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Verified step by step guidance1
Recall that the correlation coefficient \(r\) measures the strength and direction of a linear relationship between two variables, and its value ranges from \(-1\) to \$1$.
Understand that the strength of the correlation is determined by the absolute value of \(r\), meaning \(|r|\); the closer \(|r|\) is to \$1$, the stronger the correlation.
Compare the absolute values of the given options to \$0.40\(: calculate \)|0.10|\(, \)|0.75|\(, \)|-0.30|\(, and \)|0.25|$.
Identify which of these absolute values is greater than \$0.40\(, indicating a stronger correlation than \)0.40$.
Conclude that the value with the greatest absolute value above \$0.40$ represents the strongest correlation among the options.
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