We fit this model and get the summary as follows: ![]() This new model assumes that the increase in circumference is consistent between the trees but that the growth starts at different rates. The next stage is to consider how this model can be extended – one idea is to have a separate intercept for each of the five trees. The test on the age parameter provides very strong evidence of an increase in circumference with age, as would be expected. Residual standard error: 23.74 on 33 degrees of freedom ![]() ![]() Lm(formula = circumference ~ age, data = orange.df)
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