The simplest form of regression in Python is, well, simple linear regression. With simple linear regression, you're trying to ...

Simple linear regression describes the linear relationship between a response variable (denoted by y) and an explanatory variable (denoted by x) using a statistical model.

Offers an alternative to Markowitz’s “Portfolio Selection”. Outlines the nuts and bolts of correlation between past and future performance, or between expected and actual returns. Explains ...

Negative coefficients indicate opposite direction of movement in most cases. The other key result is the correlation of the two. Regression statistics will typically include an R-squared value.

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Journal of the Royal Statistical Society. Series C (Applied Statistics) The relationship between a response variable and one or more continuous covariates is often curved. Attempts to represent ...

The beta-binomial distribution is extended to allow negative correlations among binary variates within an experimental unit. Regression models are proposed for both the binary variate response rate ...