3.3 Quantitative sales forecasting Flashcards

1
Q

Why forecast sales?

A

Vital for planning activity
Forms parts of other business planning
Helps focus market research

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2
Q

Extrapolation

A

uses trends established from historical data to forecast the future.

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3
Q

Benefits of extrapolation

A

Simple
Not much data required
Quick and cheap

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4
Q

Drawbacks of extrapolation

A

Unreliable if significant fluctuations in historical data
Assumes past trends will continue into the future which is unlikely
Ignores qualitative factors

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5
Q

Correlation

A

strength of relationship between two variables.

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6
Q

Independent

A

causes the dependent to change.

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7
Q

Dependent

A

influenced by independent variable.

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8
Q

Positive correlation

A

Both increase

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9
Q

Negative correlation

A

Independent increases, dependent decreases.

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10
Q

Strong line of best fit

A

little room between data points and line.

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11
Q

Weak line of best fit

A

points are far away from line.

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12
Q

Moving averages

A

A statistic that captures the average change in a data series over time.

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13
Q

What do moving averages enable

A

Allows analysts to spot patterns.

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14
Q

What is duration used for moving averages?

A

Four to Twelve month averages

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15
Q

Moving total

A

Adding together sales figures for a specified number of periods.

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16
Q

Centred average

A

Dividing the moving total by the specified number of periods.

17
Q

When is quantitative sales forecasting useful?

A

Where the future is expected to reflect what has happened in the past.
Effective in short term.

18
Q

External factors that might influence accuracy of sales forecast

A

Seasonality
Competition
Publicity

19
Q

Seasonality

A

Weather related factors.

20
Q

Competition

A

Entrance of new rivals or unexpected actions by competitors.

21
Q

Publicity

A

Positive or negative publicity.

22
Q

No correlation

A

No relationship between the independent and dependent variable.

23
Q

Quantitative sales forecasting

A

uses numerical data to make predictions.