Podcast
Questions and Answers
Which correlation coefficient is sensitive only to a linear relationship between two variables?
Which correlation coefficient is sensitive only to a linear relationship between two variables?
- Pearson product-moment correlation coefficient
- Pearson correlation coefficient (correct)
- Spearman's rank correlation coefficient
- Mutual information coefficient
What is the mathematical formula for calculating the Pearson product-moment correlation coefficient?
What is the mathematical formula for calculating the Pearson product-moment correlation coefficient?
- $\frac{cov(X,Y)}{\sqrt{var(X) \cdot var(Y)}}$ (correct)
- $\frac{var(X) \cdot var(Y)}{cov(X,Y)}$
- $\frac{cov(X,Y)}{var(X) \cdot var(Y)}$
- $\frac{cov(X,Y)}{var(X) + var(Y)}$
Who developed the Pearson product-moment correlation coefficient?
Who developed the Pearson product-moment correlation coefficient?
- Karl Pearson (correct)
- Spearman
- Mutual Information Theory
- Francis Galton
Which correlation coefficient attempts to establish a line of best fit through a dataset of two variables?
Which correlation coefficient attempts to establish a line of best fit through a dataset of two variables?
How is the Pearson's correlation coefficient affected if there is a negative correlation between the variables of a dataset?
How is the Pearson's correlation coefficient affected if there is a negative correlation between the variables of a dataset?
Which term in statistics refers to any statistical relationship, whether causal or not, between two random variables or bivariate data?
Which term in statistics refers to any statistical relationship, whether causal or not, between two random variables or bivariate data?
What does the presence of a correlation between two variables indicate in statistics?
What does the presence of a correlation between two variables indicate in statistics?
Which example reflects a correlation between two phenomena described in the text?
Which example reflects a correlation between two phenomena described in the text?
Why are correlations considered useful in statistics?
Why are correlations considered useful in statistics?
In statistics, what does 'correlation does not imply causation' mean?
In statistics, what does 'correlation does not imply causation' mean?
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