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Strategic Management relates a study in economies of scale in the paper industry. the data is found in the following table. 50 60 73 82 90 215 215 230 260 v1.8 1.6 1.5 1.25 0.95 0.60 0.50 0.54 A. Determine the best-fitting line using least squares and the square of the correlation coefficient. The best-fitting line is W(x) = The square of the correlation coefficient is r2 = B. Is there an advantage is using a large machine? Pick the correct answer. O The larger the machine, the less the employee-hours. O The larger the machine, the more employee-hours. O The smaller the machine, the less the employee-hours. O The larger the machine, the employee-hours do not change. C. What does this model predict the employee hours per ton will be when the weighted average machine size in tons per hours is 10 million units? (Use 4 decimal placed in your answer.) For 10 million units, the model predicts employee-hours. D. What does this model predict the weighted average machine size will be is the employee-hours per ton is 1.00? (Round to the nearest ton.)

Strategic Management relates a study in economies of scale in the paper industry. the data is found in the following table. 50 60 73 82 90 215 215 230 260 v1.8 1.6 1.5 1.25 0.95 0.60 0.50 0.54 A. Determine the best-fitting line using least squares and the square of the correlation coefficient. The best-fitting line is W(x) = The square of the correlation coefficient is r2 = B. Is there an advantage is using a large machine? Pick the correct answer. O The larger the machine, the less the employee-hours. O The larger the machine, the more employee-hours. O The smaller the machine, the less the employee-hours. O The larger the machine, the employee-hours do not change. C. What does this model predict the employee hours per ton will be when the weighted average machine size in tons per hours is 10 million units? (Use 4 decimal placed in your answer.) For 10 million units, the model predicts employee-hours. D. What does this model predict the weighted average machine size will be is the employee-hours per ton is 1.00? (Round to the nearest ton.)

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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Strategic Management relates a study in economies of scale in the paper industry, the data is found in the following table. 50 60 73 82 90 215 215 230 260 y 1.8 1.6 1.5 1.25 0.95 0.60 0.50 0.54 A. Determine the best-fitting line using least squares and the square of the correlation coefficient. The best-fitting line is W(x) = The square of the correlation coefficient is r² = B. Is there an advantage is using a large machine? Pick the correct answer. O The larger the machine, the less the employee-hours. O The larger the machine, the more employee-hours. O The smaller the machine, the less the employee-hours. O The larger the machine, the employee-hours do not change. C. What does this model predict the employee hours per ton will be when the weighted average machine size in tons per hours is 10 million units? (Use 4 decimal placed in your answer.) For 10 million units, the model predicts employee-hours. D. What does this model predict the weighted average machine size will be is the employee-hours per ton is 1.00? (Round to the nearest ton.) The machine will make tons for 1 employee-hour per ton.
Transcribed Image Text:Strategic Management relates a study in economies of scale in the paper industry, the data is found in the following table. 50 60 73 82 90 215 215 230 260 y 1.8 1.6 1.5 1.25 0.95 0.60 0.50 0.54 A. Determine the best-fitting line using least squares and the square of the correlation coefficient. The best-fitting line is W(x) = The square of the correlation coefficient is r² = B. Is there an advantage is using a large machine? Pick the correct answer. O The larger the machine, the less the employee-hours. O The larger the machine, the more employee-hours. O The smaller the machine, the less the employee-hours. O The larger the machine, the employee-hours do not change. C. What does this model predict the employee hours per ton will be when the weighted average machine size in tons per hours is 10 million units? (Use 4 decimal placed in your answer.) For 10 million units, the model predicts employee-hours. D. What does this model predict the weighted average machine size will be is the employee-hours per ton is 1.00? (Round to the nearest ton.) The machine will make tons for 1 employee-hour per ton.
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