Interactive practice questions
The projected quarterly sale figures for a manufacturer of solar panels for three years in millions of Australian dollars are shown in the table below. Without actually calculating the figures, estimate the answer to the following questions.
| Q1 | Q2 | Q3 | Q4 | |
|---|---|---|---|---|
| 2019 | $0.73$0.73 | $0.85$0.85 | $1.07$1.07 | $1.36$1.36 |
| 2020 | $0.68$0.68 | $0.84$0.84 | $1.25$1.25 | $1.28$1.28 |
| 2021 | $0.84$0.84 | $0.92$0.92 | $1.41$1.41 | $1.53$1.53 |
The seasonal index for Q1 is:
$82.02%$82.02%
$70.49%$70.49%
$116.73%$116.73%
$90.08%$90.08%
$130.76%$130.76%
The seasonal index for Q4 is:
$82.02%$82.02%
$70.49%$70.49%
$116.73%$116.73%
$90.08%$90.08%
$130.76%$130.76%
The most appropriate moving average to smooth this data would be:
3MA
4CMA
6CMA
12CMA
The underlying trend in this data is that it is:
Increasing
Decreasing
Remaining stable
Data on dam levels is collected tri-annually in January, May and September over a period of $4$4 years. The seasonal indices are calculated in order to deseasonalise the data.
Data on the number of traffic accidents at a set of traffic lights is collected weekly over a period of $6$6 months. The seasonal indices are calculated in order to deseasonalise the data. Assume there are $4$4 seasons in a cycle.
Data on the number of cartons of chocolate milk sold at the school canteen is collect every day over a $6$6 week time period. The seasonal indices for each day are calculated in order to deseasonalise the data.