Measurement Errors, Linear Regression, Variance, Correlation.
resulting model: Since all quantities in (σ²_ϵ + β²_3*σ²_δ) are non-negative, the composite error is at least as large (and in practice usually larger) than the variance σ²_ϵ of the original model’s error term. That makes the prediction intervals of the model containing the measurement errors in