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Correlation and Regression using VASSARSTATS
Abstract
In a bivariate or a multivariate data, to understand the association between the variables Correlation is the best tool. It gives the degree of relationship between the variables. Regression gives the exact linear relationship between the variables. This article gives details of capabilities of Vassarstats Correlation and Regression and procedure to calculate Correlation coefficient and Regression coefficients with examples. Vassarstats Correlation and Regression can perform Linear Correlation and Regression, Intercorrelations, Multiple Correlation and Regression, Partial Correlation, 0.95 and 0.99 Confidence intervals for population correlation coefficient, Estimating the Population Value of rho, Significance of value of r, Significance of difference between two correlation coefficients, Significance of difference between sample correlation coefficient and hypothetical value of population Correlation coefficient, Rank Order Correlation, Correlation coefficient for a 2*2 contingency table, Point biserial correlation coefficient, Correlation for unordered pairs, and then Simple Logistic Regression.
Keywords
Correlation, Regression, Multiple Correlation, Partial Correlation, Rank Order Correlation, Confidence Interval, Significance of Correlation coefficient
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This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. This article can be used for non-commercial purposes. Mentioning of the publication source is mandatory while referring this article in any future works.
