COMM 291 Lecture Notes - Lecture 24: Power Tool, Kome, Tachykinin Receptor 1
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Commerce 291 lecture notes 2014 jonathan berkowitz. Not to be copied, used, or revised without explicit written permission from the copyright owner. One task of foresters is to estimate the potential lumber harvest of a forest. This is typically done by selecting a sample of trees, making some non-destructive measures of these trees, and then using a prediction formula to estimate lumber yield. The prediction formula is obtained from a study using a sample of trees for which actual lumber yields were obtained by harvesting. And the measure obtained by harvesting the trees: vol, the volume of lumber (a measure of the yield), in cubic feet. Because dbh is the most easily measured nondestructive variable, it is logical to first see how well this measure can be used to estimate lumber yield. That is, we propose a regression model that uses dbh to estimate the mean lumber yield.