Residual (shrunken) estimates can be computed along with a range of diagnostic information: A range of plots are available from the residual plots tab. The residuals can be standardised for ...

Linear regression models predict the outcome of one variable based on the value of another, correlated variable. Excel 2013 can compare this data to determine the correlation which is defined by a ...

Residual plots provide visual displays for assessing how well the model fits the data, for evaluating the distribution of the residuals, and for identifying influential observations. Surface plots are ...

Residual plots and diagnostic techniques are important tools for examining the fit of a regression model. In the case of least squares fits, plots of residuals provide a visual assessment of the ...

A residual-by-predicted plot is commonly used to diagnose nonlinearity or nonconstant error variance. It is also used to find outliers. A residual-by-predicted plot ...

The added variable plots proposed by Pregibon and Wang and the partial residual plots proposed by Pregibon and Landwehr and co-workers for generalized linear models have been found useful for ...