Forecasting Components and Methods Quiz

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Questions and Answers

Which of the following is NOT a component of forecasting?

Marketing strategies

What is the primary purpose of good forecasts according to the text?

Reducing overall personnel costs

Which time frame is described as short-range in the context of forecasting?

Daily demand or resource requirements

What does the term 'cycles' refer to in the context of forecasting?

<p>Patterns that repeat at regular intervals</p> Signup and view all the answers

What do meteorologists and sportscasters do?

<p>Predicting weather and future events</p> Signup and view all the answers

What is the purpose of using different forecasting methods according to the text?

<p>To adapt to different time frames and patterns</p> Signup and view all the answers

Which forecasting component refers to a long-term movement of the item being forecast?

<p>Trend</p> Signup and view all the answers

What type of movement in demand repeats itself over a lengthy time span?

<p>Cycle</p> Signup and view all the answers

Which method of forecasting uses historical data to predict future behavior?

<p>Time Series</p> Signup and view all the answers

What type of method uses judgment, expertise, and opinion to make forecasts?

<p>Qualitative Methods</p> Signup and view all the answers

Which forecasting method attempts to develop a mathematical relationship between the item being forecast and factors that cause it to behave the way it does?

<p>Regression Methods</p> Signup and view all the answers

What does moving average use from the recent past to develop forecasts?

<p>Values</p> Signup and view all the answers

When is moving average useful for forecasting?

<p>When there is no trend or seasonal pattern</p> Signup and view all the answers

What is the formula for moving average (MA)?

<p>$MA = \frac{\sum_{i=1}^{n}D_i}{n}$</p> Signup and view all the answers

Which forecasting component involves an oscillating movement in demand that occurs periodically in the short run?

<p>Seasonal pattern</p> Signup and view all the answers

What do time series methods assume about future behavior based on historical data?

<p>It will continue to occur in the future.</p> Signup and view all the answers

Study Notes

  • Forecasting is the process of predicting future events or trends based on historical data and patterns.
  • Examples of forecasting include weather predictions, sports game outcomes, and business demand predictions.
  • Good forecasts can lead to cost savings, increased customer satisfaction, and better resource allocation.
  • Various forecasting methods exist depending on the time frame and existence of patterns.
  • Short-range forecasts (1-2 months) include daily demands and resource requirements; medium-range (2 months - 1-2 years) include additional resources for the upcoming year; long-range (more than 1-2 years) include new products and facilities.
  • Patterns include trend, random variations, cycles, and seasonal patterns.
  • Trend is a long-term movement of the item being forecast.
  • Random variations are movements that are not predictable and follow no pattern.
  • Cycles are movements that repeat themselves over a lengthy time span.
  • Seasonal patterns are oscillating movements in demand that occur periodically in the short run.
  • Time series methods use historical data to predict future behavior, assuming that past trends will continue.
  • Moving average is a time series method that uses values from the recent past to develop forecasts.
  • Moving averages are useful for forecasting relatively stable items that do not display any trend or seasonal pattern.
  • Regression methods attempt to develop a mathematical relationship between the item being forecast and factors that cause it to behave the way it does.
  • Qualitative methods use judgment, expertise, and opinion to make forecasts.
  • Time series methods make use of historical data collected over a long period of time and assume that past trends will continue.
  • Moving average uses values from the recent past to develop forecasts and is useful for forecasting relatively stable items.
  • Formula for moving average: (∑Di / n) where: n = number of periods in the moving average, D = data in period i.
  • Instant Paper Clip Supply Company wants to forecast orders for the month of November using moving average method.

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