Solved

Consider the Quarterly Production Data (In Thousands of Units) for the XYZ

Question 74

Short Answer

Consider the quarterly production data (in thousands of units) for the XYZ manufacturing company below. The normalized (adjusted) seasonal factors are winter = .9982, spring = .9263, summer = 1.139, and fall = .9365.
Consider the quarterly production data (in thousands of units) for the XYZ manufacturing company below. The normalized (adjusted) seasonal factors are winter = .9982, spring = .9263, summer = 1.139, and fall = .9365.    Based on the following deseasonalized observations (d<sub>t</sub>), a trend line was estimated. The linear regression trend equation is tr<sub>t</sub> = 10.1 + 1.91t. Use the forecasting equation   <sub>t</sub> = tr<sub>1</sub> × sn<sub>t</sub> and calculate the forecasted demand for the fall quarter of 1998 and summer quarter of 2000. Based on the following deseasonalized observations (dt), a trend line was estimated. The linear regression trend equation is trt = 10.1 + 1.91t.
Use the forecasting equation Consider the quarterly production data (in thousands of units) for the XYZ manufacturing company below. The normalized (adjusted) seasonal factors are winter = .9982, spring = .9263, summer = 1.139, and fall = .9365.    Based on the following deseasonalized observations (d<sub>t</sub>), a trend line was estimated. The linear regression trend equation is tr<sub>t</sub> = 10.1 + 1.91t. Use the forecasting equation   <sub>t</sub> = tr<sub>1</sub> × sn<sub>t</sub> and calculate the forecasted demand for the fall quarter of 1998 and summer quarter of 2000. t = tr1 × snt and calculate the forecasted demand for the fall quarter of 1998 and summer quarter of 2000.

Correct Answer:

verifed

Verified

fall 1998 = 16.595, summer 200...

View Answer

Unlock this answer now
Get Access to more Verified Answers free of charge

Related Questions