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. 2012 Jun 8;7(6):e38642. doi: 10.1371/journal.pone.0038642

Table 4. The results of the general linear model, with quasi-Poisson distribution errors, are given to account for the variance in taking flyers, by profiles, garden variables and the number of activities in which each attendee participated (n = 69).

Variables Estimate ± S.E Df P-value
Intercept 0.26±0.56 1 0.639
Gender (Male) −0.36±0.57 1 0.466
Age 0.02±0.01 1 0.015
Income −0.36±0.09 1 <0.001
Qualifications −0.02±0.09 1 0.818
Childhood (City) 4 0.074
Childhood (Town) −1.06±0.47
Childhood (Small town) −1.21±0.63
Childhood (Village) −0.32±0.58
Childhood (Farm) −0.60±0.73
Holidays (No relation to nature) 2 0.846
Holidays (open-air) −0.15±0.44
Holidays (In natural environment) −0.26±0.46
Plants at home (Yes) 1.24±0.76 1 0.108
Pets at home (Yes) 0.67±0.29 1 0.027
Interact with nature (Yes) −0.06±0.35 1 0.870
Children's recreation (Yes) −0.16±0.37 1 0.661
Number of activities attended 0.34±0.08 1 <0.001

For non-significant variables, coefficients±SE and p-values are presented at the step of exclusion from the model. Adjusted effect size±standard errors, degrees of freedom and p-values for minimal models (all significant terms included), whereas coefficients and p-values of non-significant terms are obtain by fitting each term separately into the minimal model.