The bivariate correlations were used to (a) check
for multicollinearity among predictor variables and (b) determine whether any error terms needed to be correlated in the final model.
Not exact matches
However, there was not a strong
multicollinearity between velocity and our other predictor variables (tolerance values
for velocity: amphibians = 0.51, mammals = 0.49, birds = 0.52, values differ due to the use of different predictor variable subsets).
For example, I expect Ross will fix the
multicollinearity problem I pointed out (nb: doing so will strengthen his conclusion), without anyone needing to sumbit a comment to JESM.
We were able to estimate a stable model, though, by constraining ORs
for particular types / numbers of disorders to be the same in predicting both planned and unplanned attempts unless the interaction of the predictor with plans in the pooled model was significant at the α level of.05 and had an estimated variance inflation factor (a diagnostic test suggesting that a regression coefficient might be affected by
multicollinearity) of less than 10.0.
However, the
multicollinearity due to high comorbidity among respondents with suicide plans made it impossible to estimate a model with all 17 type / number coefficients separately
for ideators with and without a plan.
multiple regression procedures
for analyzing data as applied in education settings, including curvilinear regressions, dummy variables,
multicollinearity, and introduction to path analysis.
However, analysis of regression structure coefficients (child report of adherence rs =.67, parent report of adherence rs =.59), which are not suppressed or inflated by collinearity, demonstrates that beta weights
for adherence are low because of
multicollinearity between predictors, not poor relations with the outcome variable.