errors and residualsの例文

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1. The issue is the difference between errors and residuals in statistics, particularly the behavior of residuals in regressions.
2. For example, in errors and residuals, the hat in \ hat \ varepsilon indicates an observable estimate ( the residual ) of an unobservable quantity called \ varepsilon ( the statistical error ).
3. For example, in the context of errors and residuals, the " hat " over the letter ? indicates an observable estimate ( the residuals ) of an unobservable quantity called ? ( the statistical errors ).
4. That difference is called the " error "  a statistical term that means the amount by which an individual differs from what is average for his or her levels of intelligence ( see errors and residuals in statistics ).
5. The random variables \ varepsilon _ i are called the " disturbance ", " noise " or simply " error " ( will be contrasted with " residual " later in the article; see errors and residuals in statistics ).