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  2. Residual (entertainment industry) - Wikipedia

    en.wikipedia.org/wiki/Residual_(entertainment...

    Residuals are calculated and administered by industry trade unions like SAG-AFTRA, the Directors Guild of America, and the Writers Guild of America. [1] The word is typically used in the plural form. History

  3. Errors and residuals - Wikipedia

    en.wikipedia.org/wiki/Errors_and_residuals

    The sum of squares of the residuals, ... Then the F value can be calculated by dividing the mean square of the model by the mean square of the error, and we can then ...

  4. What are residuals and how do they work? A Hollywood strike ...

    www.aol.com/news/residuals-hollywood-strike...

    Residuals have emerged as a key sticking point in the current pair of Hollywood strikes. But what are they, and how do they work?

  5. Residual (numerical analysis) - Wikipedia

    en.wikipedia.org/wiki/Residual_(numerical_analysis)

    When one does not know the exact solution, one may look for the approximation with small residual. Residuals appear in many areas in mathematics, including iterative solvers such as the generalized minimal residual method , which seeks solutions to equations by systematically minimizing the residual.

  6. Residual sum of squares - Wikipedia

    en.wikipedia.org/wiki/Residual_sum_of_squares

    The general regression model with n observations and k explanators, the first of which is a constant unit vector whose coefficient is the regression intercept, is = + where y is an n × 1 vector of dependent variable observations, each column of the n × k matrix X is a vector of observations on one of the k explanators, is a k × 1 vector of true coefficients, and e is an n× 1 vector of the ...

  7. Root mean square deviation - Wikipedia

    en.wikipedia.org/wiki/Root_mean_square_deviation

    These deviations are called residuals when the calculations are performed over the data sample that was used for estimation (and are therefore always in reference to an estimate) and are called errors (or prediction errors) when computed out-of-sample (aka on the full set, referencing a true value rather than an estimate). The RMSD serves to ...

  8. Least squares - Wikipedia

    en.wikipedia.org/wiki/Least_squares

    The result of fitting a set of data points with a quadratic function Conic fitting a set of points using least-squares approximation. In regression analysis, least squares is a parameter estimation method based on minimizing the sum of the squares of the residuals (a residual being the difference between an observed value and the fitted value provided by a model) made in the results of each ...

  9. What Is Residual Value When Leasing a Car? Plus How to ... - AOL

    www.aol.com/residual-value-leasing-car-plus...

    Lessors calculate residual values using many factors, typically beginning with the vehicle's market value for the term and mileage required, but the calculation can get complex quickly. Assuming a ...