= Solution
Report \b[the six treatment-combination means and their uncertainty], together with useful marginal <treatment contrasts>, <standard errors> and <confidence intervals>. Means are needed to interpret direction and practical importance, while the fitted <interaction term> determines whether one factor's effects should be reported separately at levels of the other. For the pairwise marginal comparisons in part (c), ordinary model-based 95% <Student t confidence intervals> use $t_{6,0.975}$ times the corresponding <standard error>; a simultaneous set of comparisons needs an appropriate adjustment.
Also describe orchard selection, actual <randomization>, treatment delivery, numbers of trees observed, missing data and response units. Check orchard-level residuals for unequal <variance>, outliers or systematic patterns using a <residual-versus-fitted plot> and an appropriate distributional diagnostic. Explain that twelve orchards provide independent treatment <replication>; 360 tree measurements provide subsampling precision. No numerical treatment means or numerical <confidence intervals> can be recovered from the supplied <sums of squares in ANOVA> alone.
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