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Maple Trees A Forester Would Like to Know How Big

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Maple trees A forester would like to know how big a maple tree might be at age 50 years.
She gathers data from some trees that have been cut down, and plots the diameters (in
inches) of the trees against their ages (in years). First she makes a linear model. The scatterplot and residuals plot are shown.  Maple treesA forester would like to know how big a maple tree might be at age 50 years. She gathers data from some trees that have been cut down, and plots the diameters (in inches) of the trees against their ages (in years). First she makes a linear model. The scatterplot and residuals plot are shown.    a. Describe the association shown in the scatterplot. b. Do you think the linear model is appropriate? Explain. c. If she uses this model to try to predict the diameter of a 50-year old maple tree, would you expect that estimate to be fairly accurate, too low, or too high? Explain. Now she re-expresses the data, using the logarithm of age to try to predict the diameter of the tree. Here are the regression analysis and the residuals plot.     \begin{array}{lcc}\text { Dependent variable is: } & \text { Diam } \\ R \text { squared }=84.3 \% & \\ \text { Variable } & \text { Coefficient } & \text { s.e. of Coeff } \\ \text { Constant } & -8.60770 & 1.681 \\ \text { Log(Age }) & 15.0701 & 1.299\end{array}      d. Explain why you think this is a better model. e. Using this model, predict the diameter of a maple tree at age 50 years.
a. Describe the association shown in the scatterplot.
b. Do you think the linear model is appropriate? Explain.
c. If she uses this model to try to predict the diameter of a 50-year old maple tree, would you expect that estimate to be fairly accurate, too low, or too high? Explain.
Now she re-expresses the data, using the logarithm of age to try to predict the diameter of the tree. Here are the regression analysis and the residuals plot.

 Dependent variable is:  Diam R squared =84.3% Variable  Coefficient  s.e. of Coeff  Constant 8.607701.681 Log(Age )15.07011.299 \begin{array}{lcc}\text { Dependent variable is: } & \text { Diam } \\ R \text { squared }=84.3 \% & \\ \text { Variable } & \text { Coefficient } & \text { s.e. of Coeff } \\ \text { Constant } & -8.60770 & 1.681 \\ \text { Log(Age }) & 15.0701 & 1.299\end{array}
 Maple treesA forester would like to know how big a maple tree might be at age 50 years. She gathers data from some trees that have been cut down, and plots the diameters (in inches) of the trees against their ages (in years). First she makes a linear model. The scatterplot and residuals plot are shown.    a. Describe the association shown in the scatterplot. b. Do you think the linear model is appropriate? Explain. c. If she uses this model to try to predict the diameter of a 50-year old maple tree, would you expect that estimate to be fairly accurate, too low, or too high? Explain. Now she re-expresses the data, using the logarithm of age to try to predict the diameter of the tree. Here are the regression analysis and the residuals plot.     \begin{array}{lcc}\text { Dependent variable is: } & \text { Diam } \\ R \text { squared }=84.3 \% & \\ \text { Variable } & \text { Coefficient } & \text { s.e. of Coeff } \\ \text { Constant } & -8.60770 & 1.681 \\ \text { Log(Age }) & 15.0701 & 1.299\end{array}      d. Explain why you think this is a better model. e. Using this model, predict the diameter of a maple tree at age 50 years.

d. Explain why you think this is a better model.
e. Using this model, predict the diameter of a maple tree at age 50 years.


Definitions:

Business Risk

Variation in a company’s financial performance caused by changes in business conditions.

Operating Leverage

A financial ratio that measures the degree to which a firm or project can increase operating income by increasing revenue, highlighting the impact of fixed costs on profits.

Fixed Costs

Expenses that do not change with the level of goods or services produced by a business over a certain period.

Operating Leverage

A financial ratio that measures the proportion of fixed costs to variable costs in a company's cost structure, indicating how revenue growth translates into growth in operating income.

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