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.

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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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