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Tucson Machinery, Incorporated, manufactures numerically controlled machines, which sell for an average price of $13.0 million each. Sales for these NCMs for the past two years were as follows: Use Exhibit 3.10. QUARTER LAST YEAR I II III IV Y = QUANTITY (UNITS) 13 15 Last Year 23 13 This Year QUARTER THIS YEAR I II III IV a. Find the equation of a simple linear regression line using Excel. Note: Round your answers to 3 decimal places. QUANTITY (UNITS) 17 b. Compute trend and seasonal factor from a linear regression line obtained with Excel. Note: Do not round intermediate calculations. Round your answers to 3 decimal places. 21 25 19 Period I || ||| IV 1 11 ||| IV Trend Forecast Seasonal Factors c. Forecast sales for next year using the above seasonal factors. Note: Do not round intermediate calculations. Round your answers to 2 decimal places.

Tucson Machinery, Incorporated, manufactures numerically controlled machines, which sell for an average price of $13.0 million each. Sales for these NCMs for the past two years were as follows: Use Exhibit 3.10. QUARTER LAST YEAR I II III IV Y = QUANTITY (UNITS) 13 15 Last Year 23 13 This Year QUARTER THIS YEAR I II III IV a. Find the equation of a simple linear regression line using Excel. Note: Round your answers to 3 decimal places. QUANTITY (UNITS) 17 b. Compute trend and seasonal factor from a linear regression line obtained with Excel. Note: Do not round intermediate calculations. Round your answers to 3 decimal places. 21 25 19 Period I || ||| IV 1 11 ||| IV Trend Forecast Seasonal Factors c. Forecast sales for next year using the above seasonal factors. Note: Do not round intermediate calculations. Round your answers to 2 decimal places.

Practical Management Science
Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter2: Introduction To Spreadsheet Modeling
Section: Chapter Questions
Problem 20P: Julie James is opening a lemonade stand. She believes the fixed cost per week of running the stand...
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a. Find the equation of a simple linear regression line using Excel. Note: Round your answers to 3 decimal places. Y = Last Year b. Compute trend and seasonal factor from a linear regression line obtained with Excel. Note: Do not round intermediate calculations. Round your answers to 3 decimal places. This Year + Next Year Period 1 || [II IV I || ||| IV t Period I || III IV Trend Forecast c. Forecast sales for next year using the above seasonal factors. Note: Do not round intermediate calculations. Round your answers to 2 decimal places. Seasonal Factors Forecast (Units)
Transcribed Image Text:a. Find the equation of a simple linear regression line using Excel. Note: Round your answers to 3 decimal places. Y = Last Year b. Compute trend and seasonal factor from a linear regression line obtained with Excel. Note: Do not round intermediate calculations. Round your answers to 3 decimal places. This Year + Next Year Period 1 || [II IV I || ||| IV t Period I || III IV Trend Forecast c. Forecast sales for next year using the above seasonal factors. Note: Do not round intermediate calculations. Round your answers to 2 decimal places. Seasonal Factors Forecast (Units)
Tucson Machinery, Incorporated, manufactures numerically controlled machines, which sell for an average price of $13.0 million each. Sales for these NCMs for the past two years were as follows: Use Exhibit 3.10. QUARTER LAST QUANTITY QUARTER THIS (UNITS) YEAR 13 15 23 13 YEAR I II III IV Y = a. Find the equation of a simple linear regression line using Excel. Note: Round your answers to 3 decimal places. Last Year This Year b. Compute trend and seasonal factor from a linear regression line obtained with Excel. Note: Do not round intermediate calculations. Round your answers to 3 decimal places. Period I || ||| IV 1 II III IV + II III IV Period QUANTITY (UNITS) 17 21 25 19 11 t Trend Forecast c. Forecast sales for next year using the above seasonal factors. Note: Do not round intermediate calculations. Round your answers to 2 decimal places. Seasonal Factors Forecast (Units)
Transcribed Image Text:Tucson Machinery, Incorporated, manufactures numerically controlled machines, which sell for an average price of $13.0 million each. Sales for these NCMs for the past two years were as follows: Use Exhibit 3.10. QUARTER LAST QUANTITY QUARTER THIS (UNITS) YEAR 13 15 23 13 YEAR I II III IV Y = a. Find the equation of a simple linear regression line using Excel. Note: Round your answers to 3 decimal places. Last Year This Year b. Compute trend and seasonal factor from a linear regression line obtained with Excel. Note: Do not round intermediate calculations. Round your answers to 3 decimal places. Period I || ||| IV 1 II III IV + II III IV Period QUANTITY (UNITS) 17 21 25 19 11 t Trend Forecast c. Forecast sales for next year using the above seasonal factors. Note: Do not round intermediate calculations. Round your answers to 2 decimal places. Seasonal Factors Forecast (Units)
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