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. 2013 Jan 10;3(1):67–79. doi: 10.1002/ece3.437

Table 3.

Multiple linear regression models including relevant interaction terms explaining the change of wandoo crown health between 2002 and 2008 across their geographic distribution

Multiple regression model Explanatory variables β F df P R2 Adjusted R2
Y = β0+β1A+β2BE Autumn temperature change −2.57E-01 17.46 112 <0.001 0.238 0.224
Winter rainfall * Annual rainfall change −5.09E-06
Intercept (β0) −3.50E-02
Y=β0+β1AC+β2BE Autumn temp change * Summer temp change 6.17E-01 17.05 112 <0.001 0.233 0.220
Winter rainfall * Annual rainfall change −5.98E-06
Intercept (β0) −4.94E-02
Y=β0+β1C+β2BE Summer temperature change −1.75E-01 14.41 112 <0.001 0.205 0.190
Winter rainfall * Annual rainfall change −6.08E-06
Intercept (β0) −1.64E-01
Y = β0+β1AC Autumn temp change * Summer temp change 8.04E-01 24.56 113 <0.001 0.179 0.171
Intercept (β0) −3.79E-03
Y=β0+β1BE Winter rainfall * Annual rainfall change −8.93E-06 19.04 113 <0.001 0.144 0.137
Intercept (β0) −9.68E-02

Y = Crown health change for wandoo between 2002 and 2008 as a fraction between −1 and +1. Capital letters in the model formula correspond with model variables from Table 2 with the addition of “E” representing “Annual rainfall change”. All significant variables were used in the exploration and selection of the models.