Consider the following time series data.

1. Choose the correct time series plot.

   (i)
   (ii)
   (iii)
   (iv)

   Plot (i)Plot (ii)Plot (iii)Plot (iv)

   What type of pattern exists in the data?

   Downward Trend PatternUpward Trend PatternHorizontal Pattern with Seasonality

2. Use a multiple regression model with dummy variables as follows to develop an equation to account for seasonal effects in the data. Qtr1 = 1 if Quarter 1, 0 otherwise; Qtr2 = 1 if Quarter 2, 0 otherwise; Qtr3 = 1 if Quarter 3, 0 otherwise. If required, round your answers to three decimal places. For subtractive or negative numbers use a minus sign even if there is a + sign before the blank. (Example: -300) Value = fill in the blank 3 + fill in the blank 4 Qtr1 + fill in the blank 5 Qtr2 + fill in the blank 6 Qtr3 + fill in the blank 7 t
3. Compute the quarterly forecasts for next year. If required, round your answers to two decimal places. Quarter 1 forecast = fill in the blank 8 Quarter 2 forecast = fill in the blank 9 Quarter 3 forecast = fill in the blank 10 Quarter 4 forecast = fill in the blank 11