Comparing Pearson and Spearman Types of Correlation Analysis

Spearman and Pearson Correlations
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Spearman and Pearson Correlations
Correlation denotes the extent to which two variables are linearly related or how two variables tend to change together at a constant rate (Schober et al., 2018). The correlation coefficient defines the strength and direction of such a relationship. Pearson and Spearman are two types of correlation analysis.
Pearson correlation examines the linear relationship found between two data sets. It is a measure in statistics evaluating the relationships between two continuous variables. Basically, it calculates how the change in one variable affects the change in a related variable (Schober et al., 2018). Pearson correlation examines the relationship between two variables' covariance (joint variables) and their resulting standard deviation (Schober et al., 2018). This means that it measures the two variables whereby the resulting value is always between -1 and 1...