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. 2017 Jul 24;18:558. doi: 10.1186/s12864-017-3916-y

Table 3.

Model summary for multiple regression analysis of relationship between the number of transcripts reaching maximum expression (phase) and environmental predictors (photoperiod, maximum temperature, precipitation) over two week intervals for a full year

ANOVA df Sum of squares Mean of squares F Pr(>|t|)
 photoperiod 2 27.03 13.51 49.29 1.168e-08
 temperature 1 1.897 1.897 6.920 0.0156
 precipitation 1 0.0014 0.0014 0.0051 0.9435
 residuals 21 5.757 0.2741 NA NA
Coefficients VIF b Std. Err. β Std. Err. T value Pr(>|t|)
 constant NA -1.307e + 00 1.967e-01 -1.130e-16 8.718e-02 −6.646 1.40e-06
 photoperiod 2.531 2.667e-03 1.281e-03 2.945e-01 1.414e-01 2.082 0.0497
 photoperiod2 1.494 8.037e-05 1.031e-05 8.468e-01 1.087e-01 7.793 1.25e-07
 temperature 2.822 −4.886e-02 1.951e-02 −3.739e-01 1.494e-01 −2.503 0.0206
 precipitation 2.186 −9.627e-03 1.343e-01 −9.424e-03 1.315e-01 −0.072 0.9435

R2 = 0.834; Adjusted R2 = 0.802; Residual standard error = 0.4445 (21 d.f.); F-statistic: 26.38 on 4 and 21 d.f., p-value = 6.31e-08