What is the purpose of Pearson's Correlation Coefficient?
- To compute the standard deviation of a dataset
- To determine the linear relationship between two variables
- To find the mean of a set of values
- To transform qualitative data into quantitative data
Pearson's correlation coefficient (denoted as r) is a measure of the strength and direction of association that exists between two continuous variables. It measures the degree to which pairs of data for these two variables lie on a line. The values lie between -1 and 1, where 1 indicates a perfect positive correlation, -1 a perfect negative correlation, and 0 no correlation at all.
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