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  2. Partial residual plot - Wikipedia

    en.wikipedia.org/wiki/Partial_residual_plot

    In applied statistics, a partial residual plot is a graphical technique that attempts to show the relationship between a given independent variable and the response variable given that other independent variables are also in the model.

  3. Partial regression plot - Wikipedia

    en.wikipedia.org/wiki/Partial_regression_plot

    The residuals from the least squares linear fit to this plot are identical to the residuals from the least squares fit of the original model (Y against all the independent variables including Xi). The influences of individual data values on the estimation of a coefficient are easy to see in this plot.

  4. Partial correlation - Wikipedia

    en.wikipedia.org/wiki/Partial_correlation

    This means that the residuals vector lies on an (N–1)-dimensional hyperplane S z that is perpendicular to z. The same also applies to the residuals e Y,i generating a vector e Y. The desired partial correlation is then the cosine of the angle φ between the projections e X and e Y of x and y, respectively, onto the hyperplane perpendicular to ...

  5. Plot (graphics) - Wikipedia

    en.wikipedia.org/wiki/Plot_(graphics)

    Partial regression plots are also referred to as added variable plots, adjusted variable plots, and individual coefficient plots. Partial residual plot : In applied statistics, a partial residual plot is a graphical technique that attempts to show the relationship between a given independent variable and the response variable given that other ...

  6. Partial least squares regression - Wikipedia

    en.wikipedia.org/wiki/Partial_least_squares...

    Partial least squares (PLS) regression is a statistical method that bears some relation to principal components regression and is a reduced rank regression; [1] instead of finding hyperplanes of maximum variance between the response and independent variables, it finds a linear regression model by projecting the predicted variables and the observable variables to a new space of maximum ...

  7. Outline of regression analysis - Wikipedia

    en.wikipedia.org/wiki/Outline_of_regression_analysis

    Partial residual plot; Partial regression plot; Leverage; Durbin–Watson statistic; Condition number; Formal aids to model selection. Model selection; Mallows's C p;

  8. Box–Jenkins method - Wikipedia

    en.wikipedia.org/wiki/Box–Jenkins_method

    In particular, the residuals should be independent of each other and constant in mean and variance over time. (Plotting the mean and variance of residuals over time and performing a Ljung–Box test or plotting autocorrelation and partial autocorrelation of the residuals are helpful to identify misspecification.) If the estimation is inadequate ...

  9. List of statistics articles - Wikipedia

    en.wikipedia.org/wiki/List_of_statistics_articles

    Partial autocorrelation – redirects to Partial autocorrelation function; Partial autocorrelation function; Partial correlation; Partial least squares; Partial least squares regression; Partial leverage; Partial regression plot; Partial residual plot; Particle filter; Partition of sums of squares; Parzen window; Path analysis (statistics) Path ...