The Pearson Product Moment Correlation is a parametric test for the linear relationship between two datasets. A note of caution - if there is a strong linear relationship between the two datasets (i.e. the absolute value of the correlation is close to unity), it does not imply that there is necessarily a causal relationship between the datasets. It could be that there is some underlying (as yet unknown) factor that is responsible for the strong correlation between the datasets. For details on how the Pearson Correlation is calculated, please refer to the following post.
Below is an online calculator that calculates the Pearson Correlation. Please enter X and Y values as comma separated numbers in the fields below. X and Y must have the same number of samples. Alternatively, you can read in a two-column CSV file by pressing the choose file button below. To reload the same file after clearing the text areas, you would need to reload this webpage.
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This blog post implements a Logistic Regression calculator for a binary output. Consider a binary outcome response variable \(Y\...
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