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Calculation Issues

How to Calculate When an Excel Trendline Reaches a Target Value

Olivia MillerOlivia Miller Oct 15, 2026 870 views

Question details

The user needs to determine the specific x-value (such as a date) at which a linear trendline hits a predetermined target y-value using formulas.

How to Calculate When an Excel Trendline Reaches a Target Value
Product
Excel
Device & OS
not provided
Scenario
Projecting future dates or performance metrics based on a linear trend to hit a specified goal.
Observed behavior
To achieve the goal state, the exact x-value must be calculated mathematically by deriving the slope and intercept from an existing dataset rather than relying solely on chart visuals.
Before you start

Ensure that your x-values (such as dates) and y-values are formatted as numbers rather than text, as statistical functions like LINEST require pure numeric data to evaluate correctly.

Solution 1Recommended

Calculate the Target Value Using the LINEST Function

Use the LINEST function to extract both the slope and intercept simultaneously, then apply basic algebra to solve for the target x-value.

A linear trendline follows the mathematical equation y = mx + b, where 'm' is the slope and 'b' is the y-intercept. By calculating these two variables based on your existing data, you can solve for your target 'x' using the rearranged formula: x = (y - b) / m.

1
Extract Slope and Intercept

Select two adjacent empty cells horizontally. Type the formula =LINEST(known_y's, known_x's) and press Enter. The first cell will display the slope (m) and the second cell will display the intercept (b).

2
Calculate the Target x-value

In a new cell, input the algebraic formula to solve for x: =(Target_Y - Intercept_Cell) / Slope_Cell, replacing 'Target_Y' with your desired goal number and referencing the respective cells for slope and intercept.

3
Format the Result as a Date

If your x-values represent dates, the result will appear as a numeric serial number. Right-click the result cell, select 'Format Cells', and choose a 'Date' format to display the exact projected date.

Calculate the Target Value Using the LINEST Function
Excel Date Serial Numbers: Excel stores all dates as sequential serial numbers. Because dates are numeric, statistical functions treat them like any other x-value.
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Calculate Trendline Target Values Easily in WPS Spreadsheet

WPS Spreadsheet provides robust statistical functions including LINEST, SLOPE, and INTERCEPT, making it simple to project data and find exact target values. It is completely free and highly compatible with Microsoft Excel.

  1. 1. Open your Data: Launch WPS Spreadsheet and open the file containing your dataset.
  2. 2. Apply Statistical Functions: Use the =LINEST() or =SLOPE() and =INTERCEPT() functions exactly as you would in standard spreadsheet software.
  3. 3. Calculate the Target: Input the formula =(Target - Intercept) / Slope to find your specific target date or value.
Free and lightweight Office suite.100% compatible with Microsoft Excel file formats (XLSX).Supports all standard statistical formulas for precise trendline calculations.Familiar interface with no learning curve required.
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Frequently Asked Questions

Why am I getting a #VALUE! error when using the LINEST function?

This error usually occurs if your known x-values or y-values contain text strings or are numbers stored as text. Ensure all cells in your data ranges are properly formatted as numbers or standard dates.

Can I find the target value directly by looking at a chart trendline?

While a chart trendline visually projects data and you can display the equation on the chart, you cannot dynamically extract that projected mathematical point directly from the chart object into a cell. You must use functions like LINEST or SLOPE and INTERCEPT to calculate it for automated spreadsheet use.

How do I fix dates that are stored as text to use them in my trendline calculation?

Select the cells containing the text dates, go to the 'Data' tab, click 'Text to Columns', and finish the wizard by selecting 'Date' in the final step. This converts the text strings into valid numeric serial numbers that functions can process.