Pearson Correlation: Definition and Easy Steps for Use

Pearson Correlation: Definition and Easy Steps for Use

Watch the video on how to find Pearson's Correlation Coefficient, or read below for an explanation of what it is: What is Pearson Correlation? Correlation between sets of data is a measure of how well they are related. The most common measure of correlation in stats is the Pearson Correlation. The full name is the Pearson Product Moment Correlation or PPMC. It shows the linear relationship between two sets of data. In simple terms, it answers the question, Can I draw a line graph to represent the data? Two letters are used to represent the Pearson correlation: Greek letter rho (ρ) for a population and the letter "r" for a sample. The Pearson correlation coefficient can be calculated by hand or one a graphing calculator such as the TI-89 What are the Possible Values for the Pearson Correlation? The results will be between -1 and 1. You will very rarely see 0, -1 or 1. You'll get a number somewhere in between those values. The closer the value of r gets to zero,

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