Question: 4.37 Predicting seed count. Exercise 3.32 (page 88) examined the relationship between mean seed weight (in milligrams, mg)and mean number of seeds produced in a

4.37 Predicting seed count. Exercise 3.32 (page 88) examined the relationship between mean seed weight (in milligrams, mg)and mean number of seeds produced in a year by several common tree species. After converting the data from Table 3.5 (page 89)into a logarithm scale, a scatterplot of the converted data shows a linear relationship that can be described by the least-square regression equation y^=4.238-0.567x where y^ is the log of seed count and x is the log of seed weight (both in base 10).

a. Using this equation, predict the log of seed count y^ for a tree species with a mean seed weight of 1000 mg (x=3 ).

b. Following Example 4.2, undo the logarithm transformation to find the predicted mean annual seed count for a tree species with a mean seed weight of 1000 mg.

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