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Table 3 The output (parameter estimates, standard errors, z- and p-values) of the model explaining the questing tick density as an effect of prevailing weather

From: Temporal pattern of questing tick Ixodes ricinus density at differing elevations in the coastal region of western Norway

Coefficients     
  Estimate Std. error Z value Pr(<|z|)
Intercept -5.2 0.69 -7.54 <0.001
Year 2012 -0.32 0.082 -3.92 <0.001
Temperature 0.23 0.058 3.98 <0.001
(Temperature)2 -0.0066 0.0020 -3.37 <0.001
Low elevation 4.8 0.68 7.01 <0.001
ns(date, df =2) 1 1.6 0.74 2.16 0.030
ns(date, df =2) 2 -3.0 0.52 -5.78 <0.001
Low elevation* ns(date, df = 2) 1 -5.0 0.83 -6.07 <0.001
Low elevation* ns(date, df = 2) 2 2.7 0.57 4.79 <0.001
  1. The term “*” means interaction, and “ns” is natural cubic spline; “df” specifies the degrees of freedom used in the spline. The baseline for the model is year 2011 and “high” elevation.