
Sales Forecasting
Authored by Daniel Brown
Business
5th - 11th Grade
Used 32+ times

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20 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Time series analysis involves:
Analysing past data
Predicting future sales
Assuming past data is a reliable indicator of future sales
All of the above
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
The four components that a business tries to identify in time series data is:
Random fluctuations, trends, seasonal fluctuations, constant fluctuations
Random fluctuations, moving data, seasonal fluctuations, cyclical fluctuations
Random fluctuations, trends, seasonal fluctuations, cyclical fluctuations
accurate predictions, trends, seasonal fluctuations, cyclical fluctuations
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In a time series analysis, a piece of data that stands out from any trend is a:
Cyclical fluctuation
Unusual trend
Seasonal fluctuation
Random fluctuation
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Trends are best described as:
Fashion trends
Changing trends
Patterns in the figures
Data variations
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Allowing the business to plan orders of supplies and components is:
a benefit of sales forecasting
a drawback of sales forecasting
a factor influencing sales forecasting
a trend of sales forecasting
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Today, the most popular use of a smartphone is not the "phone", but the ability to access the internet. This is a lot different to when phones were first introduced in 1980. This is an example of:
Changing forecast trends
Changing cyclical trends
Changing seasonal trends
Changing consumer trends
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Changing consumer trends from petrol cars to environmentally-friendly cars is an example of:
Economic trends
Actions of competitors
Seasonal variations
Long-term trends
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