Linear Trend Forecasting


Linear trends show steady, straight-line increases or decreases where the trend-line can go up or down and the angle may be steep or shallow. The concept describes the purposes and uses of linear trend forecasting and the main ingredients necessary for implementation of this forecasting procedure.

Technique Overview

Linear Trend Forecasting Definition

Linear trend forecasting is used to impose a line of best fit to time series historical data (Harvey, 1989; McGuigan et al., 2011). It is a simplistic forecasting technique that can be used to predict demand (McGuigan et al., 2011), and is an example of a time series forecasting model.

Linear Trend Forecasting Description *

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Business Evidence

Strengths, weaknesses and examples of Linear Trend Forecasting *

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Business Application

Implementation, success factors and measures of Linear Trend Forecasting *

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Professional Tools

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Further Reading

Linear Trend Forecasting web and print resources *

Linear Trend Forecasting references (4 of up to 20) *

  • Boyer, K. and Verma, R. (2010) Operations and Supply Chain Management for the 21st Century. Cengage, Mason, OH.
  • Datta, S., Granger, C. W.J., Graham, D.P., Sagar, N., Doody, P., Slone, R. and Hilmola, O.-P. (2008) Forecasting and Risk Analysis in Supply Chain Management. MIT Forum for Supply Chain Innovation, ESD-CEE, School of Engineering.
  • Doganis, P., Alexandridis, A., Patrinos, P. and Sarimvei, H. (2006) Time Series Sales Forecasting for Short Shelf-life Food Products Based on Artificial Neural Networks and Evolutionary Computing. Journal of Food Engineering, Vol. 75, pp. 196-204.
  • Engineering Statistics Handbook (2010) Time Series Analysis. NIST/SEMATECH, National Institute of Standards and Technology, US Department of Commerce.

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