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Variables that are significant at 5% were identified and included in the final regression model.
In addition, maternal characteristics listed in Table 1 were evaluated as potential confounders and included in the final regression model if they materially altered any of the analgesic variable estimates.
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Adjustment for maternal diabetes did not change the estimates and was not included in the final regression models.
No multicolinearity was present between the predictor variable and any other variable, and therefore all were included in the final regression model.
Considering these findings, both gender and age were not included in the final regression equations.
Age, baseline lung function, AR, and change in BMI were included in the final regression analyses.
These variables were then included in the final regression model, and those with p ≤ 0.05 remained in the model (Table 3).
Before these independent variables were included in the final regression model, multicollinearity diagnostics was conducted and none of them had a variance inflation factor (VIF) up to 10.
Table 5 Variables' descriptive statistics included in the final regression estimation Variables N Min Max Mean (% pop).
Latitude, which was included in the final regression models for all response variables, significantly explained bryophyte species richness, as well as number of both bryophyte and lichen observations.
Some of the predictors in the multiple linear regression were correlated with others not included in the final regression.
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