This is the equation to compute Pearson Correlation Coefficient between x and y variable. In other words, if x and y are column vector and we want to know how much they are correlated, we can use the above formula find our r. If r is close to 1, its positively correlated if negative 1 its negatively correlated so on and so forth. See the MATLAB code snippet below. You can compare the result with matlabs implementation if you have Statistics Toolbox
Showing posts with label Without Statistics Toolbox. Show all posts
Showing posts with label Without Statistics Toolbox. Show all posts
Friday, July 18, 2014
Calculating : Pearson Correlation Coefficient (without Statistics toolbox)
This is the equation to compute Pearson Correlation Coefficient between x and y variable. In other words, if x and y are column vector and we want to know how much they are correlated, we can use the above formula find our r. If r is close to 1, its positively correlated if negative 1 its negatively correlated so on and so forth. See the MATLAB code snippet below. You can compare the result with matlabs implementation if you have Statistics Toolbox
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