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Best selling eBooks. Quantitative Methods of Sales Forecasting: The Time-Series Models Historical growth rate The first one we are going to look at is known simply as the historical growth rate. Linear Extensions Another set of quantitative methods of sales forecasting we are going to look at are linear extensions.
To put it simply, linear extensions work by plotting your historic sales data on a chart, drawing a line through the middle of the points and extending this line in to the future. Let us plot some sales data into a standard line chart in Excel. You will end up with something similar to this: Where this line intersects your forecast date will be your predicted forecast revenue. In this case the line intercepts x month 6 at y As most sales managers will attest to sales revenue rarely increases in a linear fashion i.Peggy M.
For educator access, contact your Pearson representative. Heather Owen, Programme Leader and Lecturer, School of Accounting and Economics,Napier University Overall this is an excellent text that I would recommend to any student struggling with the quantitative elements of professional accountancy examinations. Irvin S.
Practical Statistics. Similar to run rate, it requires you extrapolate sales data from a set period only this time that period is dynamic — it moves forward depending on the timeframe we are looking at. Dawn Griffiths. Thomas Pyzdek. Also included is the trend analysis of sedimentary thickness data; numerical classification of multi-variate petrographic presence-absence data by association analysis; and the mathematical modeling and statistical recognition of terrestrial and marine sediments.