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The data below shows quarterly SUHD television sales expressed in thousands of units for OMEGA manufacturer over the past four years. Question 1: (20 points)
The data below shows quarterly SUHD television sales expressed in thousands of units for OMEGA manufacturer over the past four years.
Question 1: (20 points) The data below shows quarterly SUHD television sales expressed in thousands of units for "OMEGA" manufacturer over the past four years. Quarter Year 1 2 3 4 1 8.8 6.1 7.0 6.5 2 9.8 6.2 6.8 7.1 3 7.1 6.6 7.5 7.2 4 8.3 5.9 8.2 8.2 1. Calculate the centered moving averages (CMAs). 2. Center the CMAs on integer-valued periods. 3. Determine the seasonal and irregular factors (Selt). 4. Determine the average seasonal factors. 5. Scale the seasonal factors (St). 6. Determine the de-seasonalized data. 7. Determine a trend line of the de-seasonalized data. 8. Determine the de-seasonalized predictions. 9. Take into account the seasonality element. 10. Model's Prediction Power. 11. Coefficient of Determination. 12. Standard error estimates. Question 1: (20 points) The data below shows quarterly SUHD television sales expressed in thousands of units for "OMEGA" manufacturer over the past four years. Quarter Year 1 2 3 4 1 8.8 6.1 7.0 6.5 2 9.8 6.2 6.8 7.1 3 7.1 6.6 7.5 7.2 4 8.3 5.9 8.2 8.2 1. Calculate the centered moving averages (CMAs). 2. Center the CMAs on integer-valued periods. 3. Determine the seasonal and irregular factors (Selt). 4. Determine the average seasonal factors. 5. Scale the seasonal factors (St). 6. Determine the de-seasonalized data. 7. Determine a trend line of the de-seasonalized data. 8. Determine the de-seasonalized predictions. 9. Take into account the seasonality element. 10. Model's Prediction Power. 11. Coefficient of Determination. 12. Standard error estimates Step by Step Solution
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