Struct linregress::LowLevelRegressionModel

source · 
pub struct LowLevelRegressionModel {
    pub parameters: Vec<f64>,
    pub se: Vec<f64>,
    pub ssr: f64,
    pub rsquared: f64,
    pub rsquared_adj: f64,
    pub pvalues: Vec<f64>,
    pub residuals: Vec<f64>,
    pub scale: f64,
}
Expand description

A fitted regression model

Is the result of fit_low_level_regression_model.

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

Otherwise it is given as a Vec<f64> where the first value is the intercept value.

Fields§

§parameters: Vec<f64>

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

§se: Vec<f64>

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: Vec<f64>

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

§residuals: Vec<f64>

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§

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Auto Trait Implementations§

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