the difference between the tercile and the 33%-ile should be a. The calculation of IRR with linear interpolation would require a three-step approach. LINEAR (B1,B3:B10. Linear interpolation is the process of estimating an unknown value of a function between two known values. Along the top ribbon in Excel, go to the Data tab and click on Data Analysis. 1. Define a set of y values. . You can use these functions to predict future sales, inventory requirements, or consumer trends. Originally Posted by shg. In the interpolation formula, Y is the desired value or the output of a team with 13 members. Google groups is your friend. To interpolate this value, use the following simple formula: (x – x1) * y= y1 + (x – x1) x=22. Here, you can follow any method to do the task. Figure 1. Fill in a series that fits a simple trend, use functions to extend complex and nonlinear data, or perform regression analysis with the Analysis ToolPak Add-in. Steps: First of all, let’s assume Depth of Flow = X and Discharge = Y. - So, we've seen two ways to calculate in-betweens: linear interpolation and Bézier curves. Use Mathematical Formula to Calculate Logarithmic Interpolation in Excel. In linear interpolation, Mathcad connects the existing data points with straight lines. Next, click on the bottom right corner of cell B2 and drag the formula down to fill in the remaining cells in column B. 75%. Here are the steps for performing linear interpolation in Excel using the mathematic formula: 1. Piecewise linear interpolation. Polynomial Interpolation in Excel: Step-by-Step Procedures. In Excel 2016, the FORECAST function. The mathematical equation for this case is as follows: y= y 1 + (x-x 1 )⨯ (y 2 -y 1 )/ (x 2 -x 1) We need the value of y corresponding to x, which makes point B (x,y). Trilinear interpolation is a method of multivariate interpolation on a 3-dimensional regular grid. This the ‘Bezier’ function. Interpolation is the process of estimating an unknown value of a function between two known values. you need to late bind the formula and use Application. Next, select all the air velocity numbers (cells D7-L15) and name them “zvalues”. This adjustment corrects calculations that yielded incorrect R 2 values and aligns the R 2 calculation with the LINEST function. 48 4Y 0. So the formula is y = y1 + (x-x1) (y2-y1)/x2-x1 . This will work on Excel 2007, but =FORECAST. One of the basic approaches of data interpolation in Microsoft Excel is to apply the mathematical formula of linear interpolation. Step 2: Now click the button “Calculate” to get the result. 399. x = Known value. Mutakhirkan ke Microsoft Edge untuk memanfaatkan fitur, pembaruan keamanan, dan dukungan teknis terkini. Using the Trendline, Excel can fit. Examples of usage are included with the XonGrid archive. If you think your data is linear, and you want to try the approach identified by @tom10, try. In this case first of all, you need to find closest larger and closest lower x values: Lower x: =MAX (IF (B1:L1<B5,B1:L1)) Larger x: =MIN (IF (B1:L1>B5,B1:L1)) Now need to find corresponding y's with HLOOKUP. Here, we have a dataset containing the values of X and Y, where Y=F(X). Formula 1 Formula 2 R1 R2 Tn Earlier known rate Later known rate Maturity of R1 Maturity of R2 Maturity of unknown rate. You can monitor the calculated values in the Visual Basic Immediate window. In this case, F7=7 and E7=3 because B already included the integer 7 and has a matching value in column A. Copy the code below into the module. Apr 22, 2021. 3. LINEAR Function. 4. The FORECAST. To start, place at least two columns of data in an empty Excel worksheet. Basically what I want is a LAMBDA function that could be called XINTERPOLATE or something like that that takes the Road and the Station as inputs. It seems to me that proposed solution is narrowed to picking precalculated values of function F(A,B,C) stored in tables. Utilizing FORECAST Function for Data Extrapolation in Excel. Once we have our data set, we must create a chart based on those values. Use INTERPXY to map a scattered (x,y) data points onto a uniform grid for easy plotting in Excel. My input data is as follows. If you select columns, please check the From top to bottom option. The table will be placed in sheet 3 of the Excel Spreadsheet. The formula we use is: =C4+ (C5-C4)* (E4-B4)/ (B5-B4) Which translates to: Take the first rate, and add a proportion of the difference of the first rate and the second rate. Linear Interpolation – This method is quick and easy to use, also known as Lerp. need an excel simple formula or function that returns values of y for given x in a two-dimensional array and works in the following way. Linear interpolation is a method from mathematics that serves us to estimate values between two data points, if the data points are familiar. 5 Then Stop nR = rX. If you have multiple sets of data that are sampled at the. How to find that function? (among a, b, c; a is the number I need the most). Next, select all the air velocity numbers (cells D7-L15) and name them “zvalues”. Refer to the image below. The formula of linear interpolation is given by-Linear Interpolation (y) = y 1 + [(x-x 1) × (y 2-y 1)]/ (x 2-x 1)Sleeper: Linear interpolation in Excel. I have a column with values and empty cells. Piecewise linear interpolation Figure 3. Re: 3 Variable Table Lookup with linear Interpolation. . Copy the code below into a code module, and use as your describe. a - the intercept (indicates where the line intersects the Y axis). How does Excel compute its smoothing algorithm for curved lines in the XY scatter plots?New_y’s = InterpolateFunction(known_y’s, known_x’s, new_x’s), where Function relates to the equation used to fit the two known data points provided. We can calculate the Interpolate mathematically using the formula, y = y1 + (x – x1) ⨯ (y2 – y1) / (x2 – x1). Interpolation is a method used to determine a present or future value factor when the exact factor does. 5 (answer available thru FORECAST but incomplete)I am not sure how to even approach or identify the function or result I would like to achieve. The second value is in cell "A20" and has the value "1". 5. ) and some manually. a. Here, for this dataset, you can use the TREND function of Excel. Target date can be date/time or numeric. It fits a straight line (using the method of least squares) to the array's known_y's and known_x's. 5%, PVL is $966. Method-3: Using the Combination of the IF, ISNA, VLOOKUP, AVERAGE, INDEX, and MATCH Functions. If the points in the data set change by a large amount, linear interpolation may not give a good estimate. In particular, take interpolation nodes a x 0 < x 1 < < x n 1 < x n b and produce the interpolation polynomial P n(x) that interpolates f(x) at the given node points. 2) a lookup function to return the slope and intercept specific to the desired unkown. The syntax of the INTERPOLATE function is: =INTERPOLATE (x, known_x’s, known_y’s) Where: x – the value for which you want to calculate the interpolated value. This uses Excel Forecast function =FORECAST (x,known_y's,known_x's). Thanks for the reply, Herbds7. Method-6: Using VBA Code to Do VLOOKUP and Interpolate in Excel. Solved Examples. Excel has the =FORECAST. 32 9M 0. Calculate, or predict, a future value by using existing values. Upgrade to Microsoft Edge to take advantage of the latest features, security updates, and technical support. known_x’s: The independent array or range of data known to us. The coordinates start at the trailing edge of the airfoil, follow the upper part of the airfoil, rounds the Leading edge, and goes back to the trailing edge following the lower part. I can easily do a linear interpolation between these points, but would like to find a way to interpolate between the points on the generated curve, as the linear interpolations create a stepped (non-smooth) appearance. Given a function with a set of points one can form a function such that for (that is, that interpolates at these points). 78. To demonstrate the methods we will use the following dataset. As the name implies it fits a straight line to each. It would output the linear interpolation of the. , C1), type the following formula: = (B5 - B3) / (A5 - A3) * (A4 - A3) + B3. Step 2: Perform multiple linear regression. #10. With the VBA editor open, insert a module into the workbook by right-clicking on the workbook in the project window and selecting Insert>Module. Linear interpolation assumes that the unknown rate (R. This is clearly a linear function that passes through (xk,yk) and (xk+1,yk+1). See the yellow-highlighted cells in my "corrected" sheet in the attached Excel file. The yellow shaded cell, A2, holds the known X value, and a formula in cell B2 holds the calculated Y value. An interpolation strategy enables you to estimate a function's value at any location inside a rectangle if its value is known at each of the rectangle's four corners. Scene 8: Now copy the formula to the remaining cells in the column, let's see how they look. 3 and 56. As to engineer usage, I may turn to python when no excel build-in function available. Browser ini sudah tidak didukung. And our initial data set would look like this: Firstly, we can simply input the basic mathematical formula of linear interpolation in Excel to get the result. I am given a value n and a value r0 and need to get a value from the given table. Linear interpolation is simply finding a value along a line between 2 known points. These are fill-in-the-blanks spreadsheet templates for performing the calibration curve fitting and concentration calculations for analytical methods using the calibration curve method. One frequent problem is that the SOC vs V OC curve is frequently not a one-to-one function. . The FORECAST function, which can be used in Excel to perform linear interpolation, is =FORECAST. Table of Contents hide. This formula can also be understood as a weighted average. They call it 'Inner linear interpolation'. The examples I have of doing linear interpolation in Excel avoid the volatile function by using helper cells in the lookup table that calculate slope and intercept for each pair. . Steps: Determine which value you want to interpolate and make new rows for the value you want to interpolate and the interpolated In this case I want to interpolate. a polynomial that assumes certain values at each given position. Please keep in mind that interpolation is a statistical and mathematical tool that is used to predict the. The linear interpolation is commonly used in computer graphics. Basically, the Excel formula is simple: =_X1+ (_X2 – _X1)* (Y – _Y1)/ (_Y2 – _Y1) Linear Interpolation [/captionThis formula can be written in a more familiar style, the relationship between the known points ( X1,Y1) and ( X2,Y2) and unknown location of X, Y is: For the below data table, the problem is that finding the _X1, _X2 and. Bessel and OneWay (monotonic) spline functions provide a more constrained smooth fit to data. The cubic spline function smoothly interpolates between given data points. 10. My problem is this: I have some data from a geophysics survey in a simple xlsx sheet (Excel 2010). The latest version of SRS1 Cubic Spline for Excel. In this method, we will use a mathematical formula to calculate logarithmic interpolation in Excel. Here's how our example points fit into the formula: y = 152 + (170-152) x [ (13-12) / (14-12)] 5. 1. , Algorithm for computer control of a digital plotter, IBM Systems Journal, Vol 4, No 1, (1965), pp 2530. Here’s a description of what you need to know about each of these arguments: Argument. The following Microsoft Excel formula performs linear interpolation by calculating the interpolation step value:. known_x’s – a range of x-coordinates. Whether you're new to Microsoft Excel or simply looking to pick up a few new tips and tricks, you're sure to enjoy this free software tutorial. But this formula will use the whole. Count If nR < 2 Then Exit Function If x < rX (1) Then ' x < xmin, extrapolate l1 = 1: l2 = 2: GoTo. It's often good to view Interpolation on a graph so that it becomes clearer what we're doing: - So. Declaring. Select a cell. Interpolate in Excel Graph: 6 Ways. Steps: For interpolation, we have a below formula. Surprisingly, linear interpolation is quite hard to do in Excel. Caveat: The use of OFFSET makes this a volatile formula. 3 is the value just before 3. Using bilinear interpolation, for any given point x p and y p, we can extract the equivalent point (value) P (also known as z p ). The cubic spline function smoothly interpolates between given data points. Gary''s Student. Given (x1, y1) and (x2, y2), we can estimate the y-value for a given x-coordinate. In other words, interpolate the column E values corresponding to the column F values. FORECAST. The VBA Index function will return the largest value obtained by the Match. Copy the value in C1 and paste it in cell B4 to replace the missing value. My data consists of a number of latitude and longtitude points and I want to interpolate data every 50 feet between my 2 ponts and get the latitude and longitude of those points. In the Format Trendline pane, select the Linear option, and ensure that Display Equation on Chart is checked. Use Tab to toggle from the function arguments fields. Enter the data. Function Linterp2 (rX As Range, rY As Range, x As Double) As Double ' linear interpolator / extrapolator ' R is a two-column range containing known x, known y Dim lR As Long, l1 As Long, l2 As Long Dim nR As Long 'If x = 1. S, S’, S” are all continuous function on [a, b]. I then use index match to get the corresponding values in column C to populate the linear interpolation formula. The x1 value is the value in the table that is just below our desired x-value of 230, and the x2. The following Microsoft Excel formula performs linear. LINEAR function. In linear interpolation, you might get a new data point from two known data points. To help us remember what it means, we should think of the first part of the word, ‘inter,’ as meaning ‘enter,’ which reminds us to look ‘inside’ the data we originally had. LINEAR($I$1,INDEX(F2:H2,MATCH($I$1,$F$1:$H$1,1)):INDEX(F2:H2,MATCH($I$1,$F$1:$H$1,1)+1),INDEX($F$1:$H$1,MATCH($I$1,$F$1:$H$1,1)):INDEX($F$1:$H$1,MATCH($I$1,$F$1:$H$1,1)+1))One of the basic approaches of data interpolation in Microsoft Excel is to apply the mathematical formula of linear interpolation. The =INDEX and =MATCH pick out the relevant two points on known_y's and known_x's. Since python is utilised, it is good practice to reuse existing functions already written by the community. Every time you change one of the referenced values the calculation will be run again. But with some rectification, which I found in the web, it work fine. I have a model where a certain boost leads to a certain rate. In the next example, we will find the specific volume of steam at a given temperature of 100 C and a given pressure of 20 kPa. Interpolation is a technique for adding new data points within a range of a set of known data points. Use the following Formula in the cell I2 to interpolate for the value 0. Compulsory Parameters: x: A numeric x-value for which you want to forecast a new y-value. . In Excel, we can use linear interpolation with functions and formulas. Next, we will fit the quadratic regression model. First, you need the data graph so Excel can fit a line to the data and g. The solution can be either in one formula that "looks" at target achievement and returns a corresponding bonus award amount (ideally), or via an intermediary data table (e. Rem Linear Interpolation from a x and y ordered data, for a value: Rem TODO: make it work with unordered Data. It is an nth-degree polynomial expression of the function f(x). Add a comment. Its general formula is. The N-1 construction makes sense to me, if you think of the fencepost analogy. ”. 96. Linear forecast formulas. Interpolation is a technique for approximating the value of a function between 2 well-known values. First, create a scatter chart. Next, we will select the range of our 4×4 grid of neighboring data points. This is accomplished by the linterp function described below. The question is about interpolation of the function F inbetween A, B, C given in tables. To make the above LinearInterpolation function available in excel like other functions, you need to carry out the following steps:. Linear interpolation helps us predict a value between two known data points. 49. LINEAR (B1, i. This browser is no longer supported. So the formula for linear interpolation is y = y1 + (x-x1) (y2-y1)/ (x2-x1). It will add a. Suppose you have a point W(a,b) and V(c,d). what value should be returned if the X value interpolated against is outside the range of known X values, (argument cutOffAction, 0 = extrapolate; 1 = cut off. 4. LINEAR must be changed to =FORECAST (depreciated soon). Type. Interpolation in MATLAB ® is divided into techniques for data. Suppose you have the sales data for the previous year and want to predict this year sales. Scene 7: Edit the formula and change the interpolation algorithm to three or linear interpolation then click OK. Comprehending Interpolation. For detailed instructions on how to do nonlinear interpolation within an Excel. For an arbitrary, unstructured mesh (as used in finite element analysis), other methods. 41 3Y 0. g. You will use the FORECAST function when you need a function to forecast your data without making charts and graphs. Right click on your chart > Add trendline > Under Trendline options, select one by one and see which is the best fit > Go down and check Display Equation on Chart. There are a few different types of interpolation techniques. Linear Interpolation in Excel: Step-by-Step Example. If we plot this data, it might look like this: Linear Interpolation in Excel What Is Linear Interpolation in Excel? Interpolation is a method of finding a value from known values. Assuming a linear interpolation between the payout points: Let p0 be the bonus payout percentage at dollar value v0. 2. If you want actual and interpolated data all together in one array, then you will have to program the formula. To create a sample linear interpolation formula. (x2,y2) = Second point of the interpolation process. Because AC is linear, that is, a straight line, the slope of the line (AB) connecting R 1 and R n is the same as the slope of line AC. As a result, you may see different R 2 values. It will be important later to distinguish. Example:. I’ve looked at the thirty-three-and-a-third percentile expecting it to usually be a simple linear interpolation of the 33rd and 34th percentiles (ie. Most common practise is to linearly interpolate. – Scott Craner. Line 5 gives us the higher value for interpolation: 5: MINIFS(B:B,B:B,">" &VLOOKUP(D5, A:B, 2, TRUE)) It searches. I've been trying to work on a workbook function that will see the number that I'm looking at, find that number between two others, and then report back to me the vlookup value associated with that interpolation. I had to use multiple "Match" and "Index" Method to do the "linear interpolation" for myself. The data is set up as follows. Remarks. Count If nR < 2 Then Exit Function If x < rX (1) Then ' x < xmin, extrapolate l1. First, the value of x will go, then add the y-axis values and finally add x-axis values in the formula and click Enter. The calculator plots the interpolated point on a line and shows a step-by-step solution by using linear interpolation formula. as in following example. First, we will find the x1 and x2 values. Hello, I'm not sure that I understand you correct what you mean with "non-linear interpolation". S. In reply to Day William's post on August 3, 2022. 3 is the value just before 3. Analysis can be refined by interpolation on any of the 3 values which I do on a regular bases but was trying to streamline the process using excel. . x2 x 2 and y2 y 2 are the second coordinates. which is 20000 + 0. I have a very specific excel problem. 386 4 3 3. Caveat: Such an interpolation might be poor if the curve is not nearly linear in between. If your data are linear when plotted as y vs log (x), then the data has a logarithmic relationship, as you pointed out. By default, Excel uses the Interpolation approach where the missing points are filled based on the weighted average of neighboring points. n) lies on the line (AC) between the two known rates. Re: Double interpolation. To find the y and z values, we’ll just need to modify our formula to use the y-coordinates and z-coordinates of our points. Type the function related to the interpolation that you wish to solve. Cell A3 indicates which pair of points to interpolate between. You need two variables to read off the compressed liquid or superheated vapor tables. For example, i have 5, , ,10. Excel has a standard worksheet function, forecast, which you can use for interpolation. , function) of the input data table (a one-dimensional array of cells (e. I would like to write an Excel function g such that for any x in [x_1, x_N]: g(x) = f(x), if x = x_iThen, click on the graph. Select the column of y-values in the same table and name those “yvalues”. xll and for the 64 bits version of Excel select XonGrid-w64. To help us remember what it means, we should think of the first part of the word, ‘inter,’ as meaning ‘enter,’ which reminds us to look ‘inside’ the data we originally had. Bilinear interpolation - VBA code to be put in a module. The functions are accessed just like any other standard Excel function. The position of the median. Linear interpolation is used for fitting curves using linear polynomials. Follow these steps to learn how to do it. I would do linear interpolation between the closest pair on the x-axis. The interpolation formula will look like as follows: y − y1 = y2−y1 x2−x1 × (x − x1) in another form, y = y1 + y2−y1 x2−x1 × (x − x1) where two points are known as (x1,y1)and(x2,y2). Tabular Data Extrapolate in. I took 2 screenshots. read more to determine the unknown value from the two known points. With optional arguments, you can control the interpolating spline properties. The first step to performing linear interpolation with this method is to create a chart with all of your data to optimize your organization and ensure accuracy in your calculation. In our example of paddy growth, the first set of values is (4,2). The two points are t0 = 15 and t1 = 20. Interpolación lineal en Excel: ejemplo paso a paso. Rem Linear Interpolation from a x and y ordered data, for a value: Rem TODO: make it work with unordered Data. Know the formula for the linear interpolation process. For example, Code: A --B-- 1 x y 2 1 1. The future value is a y-value for a given x-value. Now let's get into the math behind them. 3D (Surface) Interpolation Use INTERPXYZ to interpolate from a set of (x,y,z) data points. The formula need to be entered in the yellow cells (row 7), and should return the interpolated sieve diameter value for the percentages stipulated in row 6 For example; the value in cell D7; should return a value which lies in between. The FORECAST formula in Excel has three critical parameters: x, known_y’s, and known_x’s. FORECAST. Mathematical Equation for Linear Interpolation. Then right click on the data series and select “Add Trendline…”. Introduces a method to calculate interpolation step value in Excel. Line 5 gives us the higher value for interpolation: 5: MINIFS(B:B,B:B,">" &VLOOKUP(D5, A:B, 2, TRUE)) It searches column B for the smallest value (using the MINIFS function) but applies the condition that the smallest value should be larger than the value found by the lookup in line 4. Option Explicit Function Linterp2 (rX As Range, rY As Range, x As Double) As Double ' linear interpolator / extrapolator ' R is a two-column range containing known x, known y Dim lR As Long, l1 As Long, l2 As Long Dim nR As Long 'If x = 1. 3) A lookup function (usually using approximate match option) to return slope and intercept at the specified date from the monthly table. The interpolation formula is, y =Linear interpolation or other? If other, then more information is needed. respectively (and these satisfy N (P) > 1). First, let’s enter the values for the following dataset into Excel: Step 2: Check if the Data Follows a Linear Trend. Steps: First of all, let’s assume Depth of Flow = X and Discharge = Y. ETS function syntax has the following arguments: Target_date Required. Given an X vector, this function interpolates a vector Y based on the input curve (XY Range). In this formula, we are having terms as:If we talk about linear interpolation in Excel, we first need to understand what this term is. ”. Select the range of 12 data points for the X Function Argument field. Interpolation is the process of estimating an unknown value of a function between two known values. INTERPXY automatically. Step 3: Finally, the interpolated point will be. “X” is the first set of values, and “Y” is the second set of values. The formula for bilinear interpolation is: This is a complicated formula, but it can be broken down. "MrShorty" wrote: >. Writing user defined Interpolation function in Excel. Hello, I am trying to get an excel formula that will do linear interpolation for me. Use this value in the INDEX function to return the values of jc0, y0, and^i, as shown in the. It has arguments SearchValue, SearchRange. Basically, the Excel formula is simple: =_X1+ (_X2 – _X1)* (Y – _Y1)/ (_Y2 – _Y1) Linear Interpolation [/captionThis formula can be written in a more familiar style, the relationship between the known points ( X1,Y1) and ( X2,Y2) and unknown location of X, Y is: For the below data table, the problem is that finding the _X1, _X2 and. With optional arguments, you can control the interpolating spline properties. We're gonna build on some of what we learned in the environment modeling lesson, so if you need to review, click on this link. I do a lot of spreadsheets that requires linear interpolation using arrays. Hi. Write down the numbers that you are going to put. . A few methods of Interpolation are the following: Linear Interpolation: A straightforward approach for predicting the value of a function at a position between two known data points by determining the equation of the line that connects these two points. Determining an unknown rate using linear interpolation Rn = ((R1*(T2-Tn))+(R2*(Tn-T1)))/(T2-T1) Rn = R1 + SLOPE*(Tn-T1) Both formulas should always give same calculation Please address comments on this spreadsheet to. The TREND function returns values along a linear trend. The linear interpolation draws straight lines from each point to the next. And (x2, y2) refers to the second point of the interpolation process. y = y1 + (x – x1) * (y2 – y1) / (x2 – x1) Where: x1 and x2 are the known values of the independent variable that represent the unknown value of x that needs a. Genius, try Googling linear+interpolation+using+excel+formula Top 2 results: 1 indeed: How To Perform Linear Interpolation in Microsoft Excel and 2 Engineerexcel: Linear Interpolation in Excel. As we can see from the image above, point P is situated in the rectangle defined by the values 22. The TREND Function is an Excel Statistical function that estimates an unknown value based on linear regression. Step 1: Add the FORECAST. In general, an interpolant need not be a good approximation, but there are well known and often reasonable conditions where it will. Copy the formula from the first cell in column D to column E. target is the desired x-value(s) to interpolate for (a single value or a one-dimensional array of cells (e. simple linear you can use the worksheet formulas SLOPE and INTERCEPT to create a linear formula that will do what you want. Introduces a method to calculate interpolation step value in Excel. Forecast (temp, Array (indexys, indexys1),. Function for linear interpolation and extrapolation with double entrance in first row and first column. Interpolation with FORECAST. If you don’t see this option, then you need to first install the free Analysis ToolPak. 3. Nonlinear Interpolation With Excel To Construct U. Outside-range values are easily diagnosed because it throws errors in the intermediate table when you go off the edges. Linear interpolation on a data set (red points) consists of pieces of linear interpolants (blue lines). ) The bilinear interpolation is a generalization of. This formula is using coordinates of two given values to find the best fit curve as a straight line. If our data set follows a linear pattern, we can use this method to. Here, we create a straight line that connects two values and estimates the future value. Method 1: Utilizing FORECAST. Extract the Q 11, Q 21, Q 12 and Q 22 points. Using the Point-Slope formula, where the slope is (y 2-y. It keeps your code clean, short, tidy and. Select the row of x-values in the data table and name those “xvalues”. Select Regression and click OK. There are many ways to perform linear interpolation (or extrapolation) in Excel. The dataset that we are going to use has this linear pattern, although it has some of its data missing, as seen in the image. In the example below, we will. Multiple regression equation: y = b 1 x 1 + b 2 x 2 +. And here it is the definitive 1 Excel to perform Linear Interpolation (single entry tables) and Bilinear Interpolation. Example: Linear Interpolation in Excel: Consider the following dataset in Excel: Linear Interpolation in Excel. If line 4's. The following Microsoft Excel formula performs linear interpolation by calculating the interpolation step value: =(end-start)/(ROW(end)-ROW(start)) where end. Follow these steps: Start with the worksheet shown in Figure 63. Create a new sheet. 2,075. The VBA code of this function is found at the.