Spearman's rank practice

Front

What is Spearman's rank correlation coefficient?

Back

A non-parametric measure of rank correlation that assesses how well the relationship between two variables can be described using a monotonic function.

Front

What values can Spearman's rank correlation coefficient take?

Back

The values range from -1 to 1, where -1 indicates a perfect negative correlation, 0 indicates no correlation, and 1 indicates a perfect positive correlation.

Front

When should you not use Spearman's rank correlation coefficient?

Back

When the data follows a linear trend, as it is designed for monotonic relationships.

Front

How do you handle tied ranks in Spearman's rank correlation?

Back

Assign the average of the ranks that the tied values would have received.

Front

What does a Spearman's rank correlation coefficient of 0.81 indicate?

Back

It indicates a strong positive correlation between the two variables.

Front

What is the formula for calculating Spearman's rank correlation coefficient (r_s)?

Back

r_s = 1 - (6 * Σd^2) / (n(n^2 - 1)), where d is the difference between ranks and n is the number of observations.

Front

If two variables have a Spearman's rank correlation coefficient of -1, what does this imply?

Back

It implies a perfect negative correlation, meaning as one variable increases, the other decreases.

Front

What is the significance of a Spearman's rank correlation coefficient of 0?

Back

It indicates no correlation between the two variables.

Front

How do you interpret a Spearman's rank correlation coefficient of 0.585?

Back

It indicates a moderate positive correlation between the two variables.

Front

What is the first step in calculating Spearman's rank correlation?

Back

Rank the data points for both variables.