FORECAST Sheet Excel

There are two ways to “forecast sheet excel”: the quick way you copy and the durable way you understand. This page gives you both. The exact Excel answer is above; below, we build the small mental model that makes the fix stick, so the next variation of the same problem solves itself.

Exact answer

In Excel: use =FORECAST.LINEAR(x, known_ys, known_xs) — it predicts a single value from a straight-line fit through your historical points.

Syntax

=FORECAST.LINEAR(x, known_ys, known_xs)

Arguments

ArgumentDescription
xrequiredThe point to predict a value for.
known_ysrequiredThe observed outcomes.
known_xsrequiredThe observed inputs, the same size as known_ys.

Related functions

TRENDSLOPE and INTERCEPTGROWTH
Annotated stepsExcel
1

Select the result cell and type =FORECAST.LINEAR(.

2

Enter the x value you want a prediction for, then a comma.

3

Select the known y values, a comma, then the known x values.

4

Press Enter. Chart the actuals with the prediction to sanity-check the line.

Ctrl+CthenCtrl+Shift+V+Cthen+Ctrl+VPaste values · WindowsMac

Need it as an auditable file?

Ships inside the linked template — formula-driven, unlocked, audit-ready.

View template

What this does

FORECAST.LINEAR predicts one y for one x by fitting a least-squares line through the known points. It is identical to computing INTERCEPT plus SLOPE times x, just in one call. The newer FORECAST.ETS handles seasonal time series with exponential smoothing and needs a proper date column; the plain linear form assumes a straight-line relationship and nothing more. The legacy FORECAST still works and matches FORECAST.LINEAR. As with any regression, predictions far outside the observed range of x are extrapolation rather than forecasting. Most people learn this as a sequence of clicks and forget it by next week; learning it as a pattern instead is what lets you apply it to the next, slightly different version of the problem without starting from scratch. That is the difference this page is trying to make. For “forecast sheet excel”, the reliable version is a short checking loop, not just the first command that appears to work. Run it on a deliberately small range first, watch how the affected sheet change, and only then apply the same setup to the full sheet. When a formula is involved, keep the inputs labelled beside it, reference cells instead of typing values, and apply number formatting only after the result checks out. That is what makes a calculation you can defend to a CFO or an auditor useful in real work: repeatable, auditable, and not dependent on memory or luck.

A worked example

Months 1 to 24 in A2:A25 and revenue in B2:B25: =FORECAST.LINEAR(25, B2:B25, A2:A25) predicts month 25. For a seasonal series with real dates, =FORECAST.ETS(newDate, B2:B25, A2:A25) captures the repeating pattern a straight line cannot. FORECAST puts a defensible projection in a cell instead of a chart annotation, which is what a planning model needs. A practical tip before you scale it up: build it once on a small block of test data, confirm the number against the tool on this page, and only then point it at your real sheet. That one habit catches almost every mistake while it is still cheap to fix, long before a wrong figure reaches a report or a colleague.

In Google Sheets

Everything above works in Google Sheets too. Excel and Sheets share the formula syntax used here; only the surrounding menus are arranged differently. That portability is deliberate — learn it once and it follows you between the two tools and across Windows and Mac. Nothing on this page is behind a login: the tool runs entirely in your browser, the formula is shown in full with one-click copy, and the steps work the same on Windows and Mac. That is the whole promise here — the exact answer, a way to prove it on your own numbers, and just enough context to make it stick. Here is the takeaway for “forecast sheet excel”: copy the answer if you are busy, but if you have a spare few minutes, rebuild the example in Excel yourself with the tool above open beside it. That single pass — type it, run it, watch the result move when you change an input — is what turns a formula you found into a technique you trust. Keep your inputs labelled and referenced, never hard-coded, and the same sheet stays correct and auditable as it grows. Done that way, you will not need to look this up again, and you will be the person others ask.

Common mistakes

  • Predicting far outside the range of the historical x values, where the fitted line carries no evidence.
  • Using the linear form on a seasonal series; FORECAST.ETS exists for that and needs evenly spaced dates.
  • Mixing up the argument order — the x to predict comes first, then y values, then x values.

Frequently asked questions

What is the difference between FORECAST and TREND?

FORECAST returns one predicted value; TREND returns a whole array of them, and also supports multiple independent variables.

When should I use FORECAST.ETS?

When the data is a time series with a repeating seasonal pattern and evenly spaced dates. The linear form cannot represent seasonality.

Is FORECAST the same as SLOPE plus INTERCEPT?

Yes — =FORECAST.LINEAR(x,ys,xs) equals =INTERCEPT(ys,xs)+SLOPE(ys,xs)*x exactly.

Other ways people ask this

Platform & version notes

  • If you are on a Mac, nothing here changes except the modifier key: swap Ctrl for ⌘ in every shortcut, and use the Windows/Mac toggle at the top of the page so the keystrokes shown match the keyboard in front of you.

How is it different on a Mac?

Only the keys. Press ⌘ where Windows uses Ctrl; the menus, formulas and result for "forecast sheet excel" are the same on macOS as on Windows.