- What is the difference between Spearman and Pearson correlation?
- Why would you use Spearman’s rank?
- What is a good Spearman correlation?
- What is the difference between the Pearson correlation and the Spearman correlation quizlet?
- What are the 5 types of correlation?
- When should I use Pearson correlation?

## What is the difference between Spearman and Pearson correlation?

The Pearson correlation evaluates the linear relationship between two continuous variables.

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The Spearman correlation coefficient is based on the ranked values for each variable rather than the raw data.

Spearman correlation is often used to evaluate relationships involving ordinal variables..

## Why would you use Spearman’s rank?

While a scatter graph of the two data sets may give the researcher a hint towards whether the two have a correlation, Spearman’s Rank gives the researcher a numerical value on the degree of correlation, or indeed, the degree of non-correlation.

## What is a good Spearman correlation?

If there are no repeated data values, a perfect Spearman correlation of +1 or −1 occurs when each of the variables is a perfect monotone function of the other.

## What is the difference between the Pearson correlation and the Spearman correlation quizlet?

what is the difference between the Pearson correlation and the Spearman correlation? The Spearman correlation is the same as the Pearson correlation, but it is used on data from an ordinal scale.

## What are the 5 types of correlation?

Types of Correlation:Positive, Negative or Zero Correlation:Linear or Curvilinear Correlation:Scatter Diagram Method:Pearson’s Product Moment Co-efficient of Correlation:Spearman’s Rank Correlation Coefficient:

## When should I use Pearson correlation?

Pearson’s correlation should be used only when there is a linear relationship between variables. It can be a positive or negative relationship, as long as it is significant. Correlation is used for testing in Within Groups studies.