Consider the quarterly production data (in thousands of units)for the XYZ manufacturing company below.The normalized (adjusted)seasonal factors are .9982,.9263,1.139,.9365 for winter,spring,summer and fall respectively. Based on the following deseasonalized observations (d_t)given below,a trend line was estimated.The linear regression trend equation is: tr_t = 10.1 + 1.91 (t).Use the forecasting equation and calculate the forecasted demand for the fall quarter of 1998 and summer quarter of 2000.

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The Answer of Consider the quarterly production data (in thousands of units)for the XYZ manufacturing company below.The normalized (adjusted)seasonal factors are .9982,.9263,1.139,.9365 for winter,spring,summer and fall respectively. Based on the following deseasonalized observations (d_t)given below,a trend line was estimated.The linear regression trend equation is: tr_t = 10.1 + 1.91 (t).Use the forecasting equation and calculate the forecasted demand for the fall quarter of 1998 and summer quarter of 2000.

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