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].

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter9: Quadratic Functions And Equations

Section9.8: Analyzing Functions With Successive Differences

Problem 2BGP

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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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