A researcher investigating the relationship between the circumference of an elm tree (explanatory variable) and its age (response variable) gathered the following data from a random sample of elm trees:
Circumference (in.) |
20 |
7 |
15 |
28 |
39 |
12 |
47 |
60 |
Age (yrs.) |
6 |
2 |
4 |
8 |
11 |
3 |
13 |
16 |
a) Is the relationship between these variables statistically significant (at α = .05)? Justify.
b) Generate a 95% prediction interval for the age of an elm tree with a circumference of 20 inches. Would it be considered unusual for a 20 in. (circumference) tree to be 10 years old?
c) Conduct a residual plot analysis to determine whether a linear regression model form this data is appropriate for making predictions.
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