Making predictions with FORECAST
Estimates a new y value for a given x by extending the trend of existing data, e.g. predicting next year's sales. It is less reliable the further x is beyond the known data.
Understanding Making predictions with FORECAST in VCE Data Analytics U3O1
What it does: The new x is 2025, the known ys are the sales (B2:B6) and the known xs are the years (A2:A6). FORECAST works like extending the line of best fit to x = 30. The ys range comes before the xs range. x is the new input, such as a future year. FORECAST uses the trend in the known data to estimate the y value for it. known_xs is the input values, here the years in column B. The temperatures in C2:C10 are the known_ys. Predictions get less reliable the further x is beyond the known data. Things can change a lot over 36 years.
Common mistakes: The known_ys and known_xs are swapped. The sales (y) range must come first and the years (x) range second: =FORECAST(D2,B2:B6,A2:A6). The x and y ranges are different sizes (A2:A7 has 6 cells, B2:B8 has 7). Each y needs a matching x, so both ranges should end at row 8: A2:A8.
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This module's key terms are also in a printable crossword (Modules 130–148) and word search (Modules 94–148).
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Quick Questions
Match the Pairs
Key Term
=FORECAST(x, known_ys, known_xs)Fill in the Blanks
Spot the Error
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