[][src]Struct linregress::RegressionModel

pub struct RegressionModel {
    pub parameters: RegressionParameters,
    pub se: RegressionParameters,
    pub ssr: f64,
    pub rsquared: f64,
    pub rsquared_adj: f64,
    pub pvalues: RegressionParameters,
    pub residuals: RegressionParameters,
    pub scale: f64,
}

A fitted regression model.

Is the result of FormulaRegressionBuilder.fit().

If a field has only one value for the model it is given as f64.

Otherwise it is given as a RegressionParameters struct.

Fields

parameters: RegressionParameters

The model's intercept and slopes (also known as betas).

se: RegressionParameters

The standard errors of the parameter estimates.

ssr: f64

Sum of squared residuals.

rsquared: f64

R-squared of the model.

rsquared_adj: f64

Adjusted R-squared of the model.

pvalues: RegressionParameters

The two-tailed p-values for the t-statistics of the params.

residuals: RegressionParameters

The residuals of the model.

scale: f64

A scale factor for the covariance matrix.

Note that the square root of scale is often called the standard error of the regression.

Trait Implementations

impl Clone for RegressionModel[src]

impl Debug for RegressionModel[src]

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