What is Partial Correlation?

What Questions Does Partial Correlation Help Us Answer? Partial correlation is a statistical method used to explore the relationship between two variables while controlling for the effects of one or more other variables. This helps us answer questions such as: Is the relationship between two variables still significant when we control for the effects of […]

What Lessons Can We Learn From Anscombeโ€™s Quartet?

What does Anscombe’s quartet teach us about the importance of visualizing data instead of relying on summary statistics when exploring data?ย  Anscombe’s quartet is a set of four datasets that have nearly identical summary statistics but very different visual patterns. This teaches us the importance of visualizing data instead of relying solely on summary statistics […]

How to Interpret Correlation?

Understanding the Interpretation of Correlation ๐Ÿ“Š๐Ÿ” Why can we not say that one thing causes another based on a correlation coefficient or a strong correlation in a scatterplot? ๐Ÿค”๐Ÿค” While a correlation coefficient or a strong correlation in a scatterplot can suggest a relationship between two variables, we cannot say that one thing causes another […]

What are the Different Types of Correlation Coefficients?

What Are the Different Types of Correlation Coefficients? There are different types of correlation coefficients that measure the strength and direction of the linear relationship between two variables. ๐Ÿ“ˆ๐Ÿ“‰ ๐Ÿ‘‰ Pearson’s correlation coefficient (r) is the most commonly used and measures the degree of linear association between two continuous variables. It ranges from -1 to […]

What is Correlation?

What Is Correlation? Correlation describes the degree of the linear relationship between two variables. ๐Ÿ“ˆ๐Ÿ“‰ Imagine you’re playing basketball ๐Ÿ€, and you notice that the more you practice shooting free throws, the higher your accuracy becomes. That’s an example of a positive correlation between practice and accuracy. As the number of practice sessions increases, so […]