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The method of stepwise regression used in the analysis of these data is controversial in some contexts, but generally remains an accepted method of hypothesis testing and generation.
Each factor was in turn used as the dependent variable, and forward entry stepwise regression used to assess the best predictors of the factors.
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Car models There are two models that are statistically significant with V85C after stepwise regression using SSPS Package.
The model was then refined by manual backwards stepwise regression using ML to remove insignificant terms.
We performed a stepwise regression using each SNP individually as causal while controlling for the others.
A stepwise regression using a backward technique and the Akaike information criterion was performed.
*p < 0.05, **p < 0.01, †p < 0.001 Results of backward stepwise regression using the full set of variables of the BPRS.
The association between the QoL and depression symptoms score was evaluated by stepwise regression using the full set of variables of the DSSS adjusted by age and sex.
R-squared was 0.7198 (the subset of eight items resulted from stepwise regression using three small sets) and p value of analysis of variance was less than 0.001.
For each of the IBM constructs significantly associated with intention, we conducted forward stepwise regression using the beliefs making up the construct as the independent variables.
We also conducted forward selection and backwards elimination stepwise regression using a cutoff value of p = 0.10 in both directions to further inform our final model selection.
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