= Solution
In the <log-linear model> fit1 has only three main effects, so its fitted mean factors into a species factor, a diameter factor, and a height factor: mutual independence. Fit2 adds the species-diameter interaction, allowing those variables to associate, while asserting $\text{Height}\perp(\text{Species},\text{Diameter})$.
The likelihood-ratio deviance drop $12.606$ on one degree of freedom has $p=0.0003845$, strong evidence against species-diameter independence. Test fit2's remaining independence claim by comparing it with a model adding both Species:Height and Diameter:Height interactions (equivalently compare fit2 with the saturated model); its residual deviance $12.431$ is assessed against $\chi^2_3$.
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