In your new role as a data scientist for a logging company, you build a regression for the value of a tree (in $). The regression output below estimates the value of a tree (in $) based on independent...

In your new role as a data scientist for a logging company, you build a<br>regression for the value of a tree (in $). The regression output below<br>estimates the value of a tree (in $) based on independent variables for the<br>age of the tree in years (Age), the height of the tree in feet (Height) and the<br>diameter of the tree in inches (Diameter).<br>Standard<br>Coefficients<br>t Stat P-value<br>Error<br>Intercept<br>25.74<br>18.65<br>1.38<br>0.168<br>Age<br>6.57<br>3.63<br>1.81<br>0.070<br>Height<br>30.84<br>11.51<br>2.68<br>0.007<br>Diameter<br>36.80<br>17.36<br>2.12<br>0.034<br>What would the coefficient on Diameter be if diameter was measured in<br>feet, not inches? Note that 12 inches = 1 foot.<br>Please round your answer to 2 decimal places.<br>

Extracted text: In your new role as a data scientist for a logging company, you build a regression for the value of a tree (in $). The regression output below estimates the value of a tree (in $) based on independent variables for the age of the tree in years (Age), the height of the tree in feet (Height) and the diameter of the tree in inches (Diameter). Standard Coefficients t Stat P-value Error Intercept 25.74 18.65 1.38 0.168 Age 6.57 3.63 1.81 0.070 Height 30.84 11.51 2.68 0.007 Diameter 36.80 17.36 2.12 0.034 What would the coefficient on Diameter be if diameter was measured in feet, not inches? Note that 12 inches = 1 foot. Please round your answer to 2 decimal places.

Jun 02, 2022

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In your new role as a data scientist for a logging company, you build a regression for the value of a tree (in $). The regression output below estimates the value of a tree (in $) based on independent...

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