Struct SimpleRegressionResult 

pub struct SimpleRegressionResult {

    pub slope: f64,
    pub intercept: f64,
    pub r_squared: f64,
    pub adjusted_r_squared: f64,
    pub slope_se: f64,
    pub intercept_se: f64,
    pub slope_t: f64,
    pub intercept_t: f64,
    pub slope_p: f64,
    pub intercept_p: f64,
    pub residual_se: f64,
    pub f_statistic: f64,
    pub f_p_value: f64,
    pub residuals: Vec<f64>,
    pub fitted: Vec<f64>,
    pub intercept_slope_covariance: f64,
    pub n: usize,
}

Result of a simple linear regression: y = intercept + slope · x.

Fields

slope: f64

Slope coefficient (β₁).

intercept: f64

Intercept (β₀).

r_squared: f64

Coefficient of determination (R²).

adjusted_r_squared: f64

Adjusted R² = 1 - (1-R²)(n-1)/(n-2).

slope_se: f64

Standard error of the slope.

intercept_se: f64

Standard error of the intercept.

slope_t: f64

t-statistic for slope (H₀: β₁ = 0).

intercept_t: f64

t-statistic for intercept (H₀: β₀ = 0).

slope_p: f64

p-value for slope.

intercept_p: f64

p-value for intercept.

residual_se: f64

Residual standard error (√(SSE/(n-2))).

f_statistic: f64

F-statistic (= t² for simple regression).

f_p_value: f64

p-value for F-statistic.

residuals: Vec<f64>

Residuals (yᵢ - ŷᵢ).

fitted: Vec<f64>

Fitted values (ŷᵢ).

intercept_slope_covariance: f64

Covariance of the intercept and slope estimates, −x̄ · MSE / Sxx. With intercept_se and slope_se it gives the variance of the fitted mean at any x (see predict_simple_intervals).

n: usize

Sample size.

Trait Implementations

impl Clone for SimpleRegressionResult

fn clone(&self) -> Self

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for SimpleRegressionResult

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.