Imagine you are analyzing a dataset with continuous variables with outliers. The focus is on understanding the linear relationship between these variables. What type of correlation coefficient should you consider?
- Covariance
- Kendall's Tau
- Pearson's correlation coefficient
- Spearman's correlation coefficient
In this case, considering that the data is continuous and there's an interest in understanding the linear relationship, Pearson's correlation coefficient should be used. However, one should be cautious about outliers as Pearson's correlation is sensitive to them.
Loading...
Related Quiz
- What are the pitfalls to avoid when trying to improve the readability of a graph?
- Under what circumstances might 'removal' of outliers lead to biased results?
- How can extreme outliers impact the interpretation of the skewness of a dataset?
- In data analysis, EDA stands for _______.
- What is the first step in the Exploratory Data Analysis process?