Construct an anova table and test the goodness of fit of


Construct an ANOVA table and test the goodness of fit of the straight line using the data in Table 10.5. The ratio of the lack of fit and pure error mean squares is 0.48/14.22 = 0.03. Lack of fit would be indicated by a significantly large value of this ratio. The observed value is actually unusually small. Can you think of reasons that might explain this fact?

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Basic Statistics: Construct an anova table and test the goodness of fit of
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