Bivariate

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Revision as of 17:43, 18 March 2024 by Rice (talk | contribs) (Created page with "Consider two numerica random variables <math>X</math> and <math>Y</math>. We can measure their ''covariance''. <math>Cov(X, Y)</math> The '''correlation''' of two random variables measures the '''line dependent''' between <math>X</math> and <math>Y</math> <math> Cor(X, Y) = \rho = \frac{Cov(X,Y)}{sd(X) sd(Y)} </math>")
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Consider two numerica random variables Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle X} and Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle Y} . We can measure their covariance.

Failed to parse (Conversion error. Server ("https://wikimedia.org/api/rest_") reported: "Cannot get mml. Server problem."): {\displaystyle Cov(X,Y)}

The correlation of two random variables measures the line dependent between and

Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle Cor(X, Y) = \rho = \frac{Cov(X,Y)}{sd(X) sd(Y)} }