In-situ particle diagnostics indicated only small changes in the particle size distributions when the plasma gases were changed.
Collinearity diagnostics indicated dependency between respondents' estimations of fascination, extent, and complexity, and between estimations of coherence and scope.
Using an equivalent of Cook's statistic for logistic regression, outlier diagnostics indicated no cases of extreme influence except, in the analysis of anxiety, the combination formed by the reference values of all variables.
Gelman-Rubin diagnostics indicated good convergence of all model parameters.
Regression diagnostics indicated no problems with collinearity or influential observations in these models.
Moreover, multivariate linear regression diagnostics indicated that some linear regression assumptions were not met.
†Variance inflation factors (VIF) diagnostics indicated no evidence of colinearity (VIF<1.2) among variables in final models.
We decided against that approach because model diagnostics indicated that the proportional odds assumption was violated.
Extensive residual diagnostics indicated some heteroskedasticity, which was rectified with the natural log-transformed CIMT.
Regression diagnostics indicated that the Los Angeles County, white race, age 70 84, data point was a potentially influential point.
