Table 3.
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.