Serial correlation is a statistical representation of the degree of similarity between a given time series and a lagged version of itself over successive time intervals ...

The correlation function will ask for two rows of data from two identical timeframes. Input, click ok and voila—correlation coefficient. The correlation coefficient is a number between 1 and -1.

The inverse of the correlation matrix, however, also has important interpretations. An exposition of some of the properties connected with the inverse of the correlation matrix is provided and its use ...

Correlation is not causation, but it sure is a hint.” Here are some further examples demonstrating this logical fallacy: As ice cream sales increase, the rate of drowning deaths increases.

In today's business world, while data professionals have access to advanced AI tools, they still remain heavily dependent on manual data analysis. Ada, the world's first AI data analyst, launches ...

Using a hypothetical data set, the authors provide concrete examples to illustrate that canonical correlation analysis is a general linear model, subsuming other parametric procedures as special cases ...

Correlation is a statistical measure of how two securities move in relation to each other. Investors use correlation to diversify their portfolios and hedge against risk.

Understanding one of the most important types of data analysis.