Q2 The two "experienced" operation managers have resisted the introduction of a computerized linear regression forecasting system, claiming that their current forecasting tool is "much better than any impersonal computer could do". Table Q2 shows the weekly demand for the previous period. Perform the following: () Develop a linear regression model using the actual demand, and make four(4)-week forecast of production; (i) Determine the mean square error and standard error of the forecast developed in section (i) Table Q2 Actua Week Demand 1 3,000 2 4,400 3 4,200 4 3,100

Q2 The two "experienced" operation managers have resisted the introduction of a computerized linear regression forecasting system, claiming that their current forecasting tool is "much better than any impersonal computer could do". Table Q2 shows the weekly demand for the previous period. Perform the following: () Develop a linear regression model using the actual demand, and make four(4)-week forecast of production; (i) Determine the mean square error and standard error of the forecast developed in section (i) Table Q2 Actua Week Demand 1 3,000 2 4,400 3 4,200 4 3,100

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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Training Dept. of Nimrod Inc wants to develop a regression-based compensation model (compensation in $ per year, Comp) for its mid-level managers to encourage performance, loyalty, and continuing education based on three variables. ▪ Business unit-profitability (Profit per year in $). ▪ Working experiences in Nimrod Inc (Years). ▪ Whether or not a manager has a graduate degree (Grads). If a manager has a graduate degree equals 1, 0 otherwise. Table Attached Question: Which explanatory variables and interaction terms are significant and not significant at alpha = 5%? Explain your answer briefly.
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