To estimate ages of trees, rangers use a simple regression model that relates the tree diameter (inches) to their age (years). The model is useful because tree diameter has an association to tree age (count of cross section rings). 8 trees were sampled. The regression model is: TreeAge= -0.15228+6.451 (Diameter) d) If in fact, the tree age is 76 years for a tree with diameter 9.5 inches, the residual is approximately ["", ""] . The age has been a(n) [a7].

To estimate ages of trees, rangers use a simple regression model that relates the tree diameter (inches) to their age (years). The model is useful because tree diameter has an association to tree age (count of cross section rings). 8 trees were sampled. The regression model is: TreeAge= -0.15228+6.451 (Diameter) d) If in fact, the tree age is 76 years for a tree with diameter 9.5 inches, the residual is approximately ["", ""] . The age has been a(n) [a7].

College Algebra

1st Edition

ISBN:9781938168383

Author:Jay Abramson

Publisher:Jay Abramson

Chapter4: Linear Functions

Section: Chapter Questions

Problem 30PT: For the following exercises, use Table 4 which shows the percent of unemployed persons 25 years or...

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To estimate ages of trees, rangers use a simple regression model that relates the tree diameter (inches) to their age (years). The model is useful because tree diameter has an association to tree age (count of cross section rings). 8 trees were sampled. The regression model is: TreeAge= -0.15228+6.451 (Diameter) d) If in fact, the tree age is 76 years for a tree with diameter 9.5 inches, the residual is approximately ["", ""] . The age has been a(n) [a7]. e) If the correlation , then the coefficient of determination is [a8].
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