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_t), a trend line was estimated. The linear regression trend equation is tr_t = 10.1 + 1.91(t). Based on this trend equation, the following trend values are calculated for each period in the time series.
Year
1998
Year
1999
Year
2000
Isolate the cyclical and irregular components by calculating the estimate of CL_t × IR_t for the first four quarters in the time series.

Question

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_t), a trend line was estimated. The linear regression trend equation is tr_t = 10.1 + 1.91(t). Based on this trend equation, the following trend values are calculated for each period in the time series.
Year
1998

Year
1999

Year
2000

Isolate the cyclical and irregular components by calculating the estimate of CL_t × IR_t for the first four quarters in the time series.

Quizplus · Accepted Answer

The Answer of 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_t), a trend line was estimated. The linear regression trend equation is tr_t = 10.1 + 1.91(t). Based on this trend equation, the following trend values are calculated for each period in the time series. Year 1998 Year 1999 Year 2000 Isolate the cyclical and irregular components by calculating the estimate of CL_t × IR_t for the first four quarters in the time series.

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