Excel Interpolation (Linear & Non-linear Interpolation)

Interpolation is used in financial analysis to estimate missing values.

 

Overview to Excel Interpolation

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What Is Interpolation?

Interpolation is a mathematical technique used to estimate values within a set of known data points. It fills gaps between observed data points by assuming a smooth or linear relationship between them. Interpolation can be linear or non-linear, depending on the data nature and accuracy.


How to Do Linear Interpolation for Linear Dataset in Excel?

If your dataset is linear, you can implement a linear interpolation method. The image below displays a set of formulas that you can use to perform linear interpolation on a linear set of data.

Linear Interpolation for Linear Dataset

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How to Do Linear Interpolation for Non-linear Dataset in Excel? (Taking All X & Y Values into Consideration)

If your dataset is non-linear, you may get different interpolation results if you follow different methods. You can perform linear interpolation either by taking all X & Y values or only the adjacent X & Y values.

1. Using the FORECAST Function

  • Use the following formula in C15:
=FORECAST(C14,C5:C12,B5:B12)
  • Press Enter.

Interpolation Using FORECAST Function


2. Using SLOPE and INTERCEPT Functions

  • Calculate the dataset slope and intercept, using formulas containing SLOPE and INTERCEPT functions.

 Slope = SLOPE(C5:C12,B5:B12)

Intercept = INTERCEPT(C5:C12,B5:B12)

  • In C15, enter the following formula:
=E6*C14+E8
  • Press Enter.

Interpolation Using SLOPE & INTERCEPT Functions

(This method follows the straight line equation, y = mx + c)


3. Using the Excel Scatter Plot (Linear Trendline)

  • Select the X and Y coordinate values and click Insert >> Charts >> Scatter.

Inserting Scatter Plot (Linear)

  • Click Chart Elements. Check Trendline. Uncheck Gridlines.
  • Change the chart title.

Fixing Chart Title and Checking Trendline (Linear)

  • Double-click Trendline.
  • Select Trendline Options >> Linear >> Display Equation on Chart.

The linear equation is visible. You can enter an X value and get the corresponding Y value.

Selecting Trendline Type and Displaying Equation (Linear)

Click the image for a detailed view

  • In C17, enter the following formula:
=0.7337*C16 + 4.0858
  • Press Enter.

Putting X Value into Equation and Interpolate (Linear)


How to Do Linear Interpolation in a Non-linear Dataset in Excel? (Taking Adjacent X & Y Values into Consideration)

1. Using a General Mathematical Interpolation Formula

  • Use the following formula in C15:

=C7+(C14-B7)*(C8-C7)/(B8-B7)

  • Press Enter.

Interpolation Using Mathematical Formula


2. Using the FORECAST Function

The FORECAST function is used before interpolation. It takes all adjacent X and Y values as input.

To find the adjacent X, and Y values, use a combination of the INDEX and MATCH functions or the XLOOKUP function.

Formulas for INDEX & MATCH

  • For X1 : =INDEX(B5:B12,MATCH(C14,B5:B12,1))
  • For X2 : =INDEX(B5:B12,MATCH(C14,B5:B12,1)+1)
  • For Y1 : =INDEX(C5:C12,MATCH(C14,B5:B12,1))
  • For Y2 : =INDEX(C5:C12,MATCH(C14,B5:B12,1)+1)

Formulas for XLOOKUP

  • For X1 : =XLOOKUP($C$14, B5:B12,B5:B12,,-1,1)
  • For X2 : =XLOOKUP($C$14, B6:B13,B6:B13,,1,1)
  • For Y1 : =XLOOKUP($C$14, B5:B12,C5:C12,,-1,1)
  • For Y2 : =XLOOKUP($C$14, B5:B12,C5:C12,,1,1)

  • In C15, enter the following formula:
=FORECAST(C14,F8:F9,F6:F7)
  • Press Enter.
Interpolation Using FORECAST Function with Adjacent X Values

Click the image for a detailed view


3. Combining the FORECAST, OFFSET, and MATCH Functions

  • In C15, enter the following formula:
=FORECAST($C$14, OFFSET($C$5:$C$12,MATCH($C$14, $B$5:$B$12,1)-1, 0,2), OFFSET($B$5:$B$12,MATCH($C$14, $B$5:$B$12,1)-1,0,2))
  • Press Enter.

Interpolation Using FORECAST, OFFSET and MATCH Functions

Formula Breakdown

  • MATCH($C$14, $B$5:$B$12, 1): Finds the position of the largest value less than or equal to the lookup value in B5:B12.
  • OFFSET($B$5:$B$12, MATCH($C$14, $B$5:$B$12, 1)-1, 0, 2): Creates a new range by shifting B5:B12 by the number of rows specified by the result of the MATCH function minus 1, with a resulting range height of 2 rows.
  • OFFSET($C$5:$C$12, MATCH($C$14, $B$5:$B$12, 1)-1, 0, 2): Creates a new range by shifting C5:C12 by the number of rows specified by the result of the MATCH function minus 1, with a resulting range height of 2 rows.
  • FORECAST($C$14, OFFSET($C$5:$C$12, MATCH($C$14, $B$5:$B$12, 1)-1, 0, 2), OFFSET($B$5:$B$12, MATCH($C$14, $B$5:$B$12, 1)-1, 0, 2)): Performs linear interpolation using the FORECAST function, using the value in C14 as the X value and interpolating between two adjacent data points based on their corresponding X and Y values (shifted using OFFSET).


How to Do Non-linear Interpolation in Excel?

Non-linear interpolation returns more accurate results.

How to Do Non-linear Interpolation Using the GROWTH Function?

Use the GROWTH function.

  • In C15, enter the following formula:
=GROWTH(C5:C12,B5:B12,C14)
  • Press Enter.

Interpolation Using GROWTH Function


How to Do Non-linear Interpolation Using a Scatter Plot with a Trendline?

  • Select the X and Y coordinate values and click Insert >> Charts >> Scatter.

Inserting Scatter Plot

  • Click Chart Elements.
  • Check Trendline.
  • Uncheck Gridlines.
  • Change the chart title.

Fixing Chart Title and Checking Trendline

  • Double-click Trendline.
  • Select Trendline Options >> Exponential >> Display Equation on Chart.

The linear equation is visible. Enter the X value and get the corresponding Y value.

Selecting Trendline Type and Displaying Equation

  • In C17, enter the following formula:
=4.2258*EXP(0.0936*C16)
  • Press Enter.
Putting X Value into Equation and Interpolate

Click the image for a detailed view


Practical Examples of Interpolation in Excel

How to Use the FORECAST.LINEAR Function to find Density?

Use FORECAST.LINEAR function. It determines a prediction using a straight line that fits known data.

  • Select F5 >> enter the formula >> press Enter.
=FORECAST.LINEAR(F4,C5:C11,B5:B11)

Use FORECAST.LINEAR Function for Interpolation in Excel


How to Apply the TREND Function to Get Interpolated Density?

Apply the TREND function to get interpolated density.

  • Select F5 >> use the following formula >> press Enter.

=TREND(C5:C11,B5:B11,F4,TRUE)

Apply TREND Function for Interpolation in Excel


How to Do Interpolation With the SLOPE and INTERCEPT Functions?

The SLOPE function finds the slope of a straight line. The INTERCEPT function calculates the point where the line crosses the y-axis.

  • Select F5 >> enter the following formula >> press Enter.

=F4*SLOPE(C5:C11,B5:B11)+INTERCEPT(C5:C11,B5:B11)

Interpolation With SLOPE and INTERCEPT Functions


How to Prevent Interpolation Errors in Excel?

#DIV/0 is often displayed because x1 and x2 are the same. To prevent this error:

  • Select F11 >>use the formula >> press Enter to see #DIV/0.

=FORECAST(F10,F7:F8,F5:F6)

DIV by 0 occurs because of x, x1 and x2 are being same

Improve the formula.

  • Select F11 >> enter the following formula >> press Enter.

=IF(F5=F6,F7,FORECAST(F10,F7:F8,F5:F6))

No #DIV/0 will be displayed.

Prevent Interpolation Errors in Excel


What Are the Things to Keep in Mind?

  • Make sure your data is organized in columns or rows, with the independent variable (X) values in one column and the dependent variable (Y) values in another column.
  • Ensure that your X values are sorted in ascending order. If your data is not sorted, the interpolation results may be incorrect.
  • Make sure there are no duplicate X values in your dataset. Excel’s interpolation functions rely on unique X values.

Frequently Asked Questions

1. Is there an interpolation function in Excel?

Answer: Yes, Excel provides several functions that can be used for interpolation. The most commonly used function for linear interpolation is the FORECAST function. For non-linear interpolation, Excel does not have a built-in function, but you can use other functions like TREND, GROWTH, or LINEST to perform various types of curve fitting and extrapolation.

2. What are the differences between extrapolation and interpolation?

Answer: Interpolation is the technique of estimating values within the range of known data points.

Extrapolation involves estimating values beyond the range of known data points. It extends the trend or relationship observed to predict values outside the range.

3. Is Interpolated data a reliable source of information?

Answer:  The reliability of interpolated data depends on the quality of the original data and the appropriateness of the interpolation method.


 

Excel Interpolation: Knowledge Hub


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Md. Nafis Soumik
Md. Nafis Soumik

Md. Nafis Soumik graduated from Bangladesh University of Engineering & Technology, Dhaka, with a BSc.Engg in Naval Architecture & Marine Engineering. In January 2023, he joined Softeko as an Excel and VBA content developer, contributing 50+ articles on topics including Data Analysis, Visualization, Pivot Tables, Power Query, and VBA. Soumik participated in 2 specialized training programs on VBA and Chart & Dashboard designing in Excel. During leisure, he enjoys music, travel, and science documentaries, reflecting a diverse range... Read Full Bio

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