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sales forecasting

Total questions: 13

Worksheet time: 7mins

Name
Class
Date
1.

Time series analysis involves:

a)

Analysing past data

b)

Predicting future sales

c)

Assuming past data is a reliable indicator of future sales

d)

All of the above

2.

In a time series analysis, a piece of data that stands out from any trend is a:

a)

Cyclical fluctuation

b)

Unusual trend

c)

Seasonal fluctuation

d)

Random fluctuation

3.

Trends are best described as:

a)

Fashion trends

b)

Changing trends

c)

Patterns in the figures

d)

Data variations

4.

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:

a)

Changing forecast trends

b)

Changing cyclical trends

c)

Changing seasonal trends

d)

Changing consumer trends

5.

Fashion trends are:

a)

highly unpredictable

b)

trends that change often

c)

factors that influence sales forecasts

d)

All of the above

6.

Economic variables, which influence sales forecasting, are:

a)

measurements of different aspects of industries that give an indication of how the economy is performing

b)

measurements of different aspects of an economy that give an indication of how that economy is performing

c)

measurements of exchange rates in an economy that give an indication of how that economy is performing

d)

measurements of different aspects of an economy that give an indication of how that industry is performing

7.

Generally, strong economic growth will lead to:

a)

a lower sales forecast

b)

Rising unemployment

c)

seasonal fluctuations

d)

a higher sales forecast

8.

A business would have a higher sales forecast when:

a)

there is slower GDP growth

b)

there is high inflation

c)

falling unemployment

d)

Higher exchange rates

9.

A rival restaurant opening next door to an existing restaurant would have what kind of effect on a sales forecast:

a)

a short term effect

b)

a long term effect

c)

Mr Nick is really tall

d)

A direct effect

10.

Volatile consumer tastes, excessive varieties of data, subjective expert opinions, all make sales forecasting:

a)

More easier

b)

More difficult

c)

Lots of fun

d)

A standard task of a business

11.

The trend in this data best reflects:

a)

Cyclical fluctuations

b)

Random fluctuations

c)

Seasonal fluctuations

d)

Yearly fluctuations

12.

Which of the following is a benefit of a sales forecast:

a)

determining net cash flow

b)

determining if the business has the capacity to meet projected orders

c)

determining if the business has the right variety of products

d)

determining if the business is making enough profit

13.

Can sales forecasts show a firm if they will make a profit or loss.

a)

Yes

b)

No