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o 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) Formulas:                   a) The value of the slope is       ["", "", "", ""]  .  b) The value of the y-intercept is       ["", ""]  .  c) The predicted tree age for a tree with diameter 9.5 inches is        ["", ""]  years.

o 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) Formulas:                   a) The value of the slope is       ["", "", "", ""]  .  b) The value of the y-intercept is       ["", ""]  .  c) The predicted tree age for a tree with diameter 9.5 inches is        ["", ""]  years.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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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)

Formulas:                  

a) The value of the slope is       ["", "", "", ""]  . 

b) The value of the y-intercept is       ["", ""]  . 

c) The predicted tree age for a tree with diameter 9.5 inches is        ["", ""]  years.

Formulas: r = ±VR? Residual = actual y – predicted y
Transcribed Image Text:Formulas: r = ±VR? Residual = actual y – predicted y
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