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pleasedontspamme
pleasedontspamme
04.10.2020 • 
Mathematics

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 ˆ
y=4.238−0.567x

where
ˆ
y
is the log of seed count and
x
is the log of seed weight (both in base 10).

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


4.37 Predicting seed count. Exercise 3.32 (page 88) examined the relationship between mean seed wei
4.37 Predicting seed count. Exercise 3.32 (page 88) examined the relationship between mean seed wei

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