Time Series Wonder-Z electronics Store is considering the sales pattern of the gaming consoles they self-manufacture. They provide you with the following data from the past five years, by seasons: Year 1 Year 2 Year 3 Year 4 Year 5 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 120 100 165 180 125 122 162 170 122 110 155 158 130 105 135 145 131 89 120 130 1. Construct a time series plot and identify which of the following patterns exists in the data? (choose one and enter into the blank) - "Trend but no seasonality", "trend with seasonality", "No trend". 2. Use time series linear regression analysis using dummies for Q1, Q2, and Q3 and include time period "t" to find the parameters for the line that minimizes MSE for this data. Fill in the blanks below to indicate the corresponding parameter estimates: Y-hat = + *Q1 + *Q2 + *Q3 + *t 3. The forecasted second quarter sales in the 6th year is units

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Time Series
Wonder-Z electronics Store is considering the sales pattern of the gaming consoles they self-manufacture. They provide you with the
following data from the past five years, by seasons:
Year 1
Year 2
Year 3
Year 4
Year 5
|Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4
|120 100 165 180 125 122 162 170 122 110 155 158 130 105 135 145 131 89 120 130
1. Construct a time series plot and identify which of the following patterns exists in the data? (choose one and enter into the blank) -
"Trend but no seasonality", "trend with seasonality", "No trend".
2. Use time series linear regression analysis using dummies for Q1, Q2, and Q3 and include time period “t" to find the parameters for
the line that minimizes MSE for this data. Fill in the blanks below to indicate the corresponding parameter estimates:
Y-hat
+
*Q1+
*Q2 +
*Q3 +
*t
3. The forecasted second quarter sales in the 6th year is
units
Transcribed Image Text:Time Series Wonder-Z electronics Store is considering the sales pattern of the gaming consoles they self-manufacture. They provide you with the following data from the past five years, by seasons: Year 1 Year 2 Year 3 Year 4 Year 5 |Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 |120 100 165 180 125 122 162 170 122 110 155 158 130 105 135 145 131 89 120 130 1. Construct a time series plot and identify which of the following patterns exists in the data? (choose one and enter into the blank) - "Trend but no seasonality", "trend with seasonality", "No trend". 2. Use time series linear regression analysis using dummies for Q1, Q2, and Q3 and include time period “t" to find the parameters for the line that minimizes MSE for this data. Fill in the blanks below to indicate the corresponding parameter estimates: Y-hat + *Q1+ *Q2 + *Q3 + *t 3. The forecasted second quarter sales in the 6th year is units
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