If you haven’t already install the Solver in Excel, use the following steps to do so: Click File. Vector x contains the sample points, and v contains the corresponding values, v ( x ). How to Quickly Linear Interpolate Tutorial. Questo primo metodo (senza funzioni) può essere utilizzato con tutte le versioni di Excel. LINEAR as part of the new Forecasting functions. Its most common methods, initially developed for scatterplot. To compute coefficient estimates for a model with a constant term (intercept), include a column of ones in the matrix X. Bei der linearen Interpolation werden alle Werte zwischen Anfang und Ende so berechnet, dass die Änderung. Data Formatted as a Table. Compute answers using Wolfram's breakthrough technology & knowledgebase, relied on by millions of students & professionals. Do Interpolation of Non-Linear 2D Data in Excel. Interpolation is a common way to approximate functions. Nearest-neighbor interpolation (also known as proximal interpolation or, in some contexts, point sampling) is a simple method of multivariate. 0. We’ll need to give the function a name – I’ll call it “LinInterp”. The values of s are determined by cubic spline interpolation of x and y. 625 = -4 and then 17 + -4 = 13. 5] Data Types: single | double Complex Number Support: YesFind the linear interpolation at x = 1. This uses Excel Forecast function FORECAST. This column is the 'slope' from the current row to the next row, defined as (Change in Probability)/ (Change in. These are fill-in-the-blanks spreadsheet templates for performing the calibration curve fitting and concentration calculations for analytical methods using the calibration. It includes many strategies and techniques for modeling and analyzing several variables when the focus is on the relationship between a single or more variables. 2 the Nelson‐Siegel model approximates an arbitrage‐free model. This function is used to predict the future based date. Explore Popular Topics Like Government, Sports, Medicine, Fintech, Food, More. Adding the module automatically opens a new code window. Linear Interpolation Formula. Linear interpolation on a set of data points (x0, y0), (x1, y1),. 05, v1 = 11 – 6 – 1 = 4 and v2 = 6, the critical level of F is 4. Linear interpolation is a method from mathematics that serves us to. The Excel LARGE function returns a numeric value based on its position in a list when sorted by value in descending order. LINEAR (x, known_y's, known_x's) to calculate the interpolated value. Go to the Insert Tab > Charts Group. Create a piecewise cubic monotone spline interpolation based on arbitrary points. For the sake of simplicity, we will be doing this using any IDE available. 0. LINEAR als Teil der neuen Prognosefunktionen. - So, we've seen two ways to calculate in-betweens: linear interpolation and Bézier curves. 4], and the indices would be i1=1, i2=2. Step 8: Use the Solver to solve for the regression coefficients. Step 04: Use the Function for Interpolation. In Excel, we use a FORECAST function and a LOOKUP function to do a linear interpolation. FORECAST does a linear interpolation, but it assumes a straight line. b = regress (y,X) returns a vector b of coefficient estimates for a multiple linear regression of the responses in vector y on the predictors in matrix X. The same holds true for linear regression in Excel. Session Length is associated with. Select the chart to see two new tabs in the ribbon, “Design” and “Format. Linear interpolation is a mathematical method of using the equation of a line in order to find a new data point, based on an existing set of data points. So if you have 2-d table, you can find out which formula fits. Suppose we are given earnings data below, which are the known x’s, and expenses, which are the known y’s. I hope you enjoy. This is used to determine or estimate a future value based on previous values; the predicted value is a y-value for a given x-value. In this blog post, we’ll discuss some of the. Lookup table. docx. The idea is that the points are in some sense correct and lie on an underlying but unknown curve, the problem is to be able to estimate the values of the curve at any. version: 1. Here's how: In your Excel, click File > Options. 0. Step 1: Making Dataset with Variables. Excel's solver tool is a really powerful way to perform nonlinear interpolation. Flexible Data Ingestion. FORECAST. inv (x. Follow these steps to learn how to do it. Local regression or local polynomial regression, also known as moving regression, is a generalization of the moving average and polynomial regression. The interpolation calculator will return the function that best approximates the given points according to the method chosen. For example, whether a tumor is malignant or benign, or whether an email is useful or spam. Angenommen, wir haben den folgenden Datensatz in Excel: Wenn wir ein schnelles Diagramm der Daten erstellen würden, würde es so aussehen: Nehmen wir nun an, wir möchten den y-Wert ermitteln, der einem neuen x-Wert von 13 zugeordnet ist. 0. V contains the corresponding function values at each sample point. This data should contain two columns: one for the independent variable (e. Examples of Interpolate in Excel; Introduction to Interpolate in Excel. So we use MATCH to find the first number that is equal or higher to what we're looking for. Depending on the nature and size of your dataset, this difference can be substantial. For example, you have data on the number of social media followers and know the followers count in week 1 and week 3. This is the default interpolation typically used when plotting data. x - the independent variable you are using to predict y. LINEAR () (2016) Statistical: Returns a future value based on existing values. Then enter the values of x2 and y2. Logistic regression model. Log InorSign Up ***** 1. Bei der Interpolation wird angenommen, dass die Änderung zwischen zwei Werten linear verläuft und dass die Fehlerspanne unbedeutend ist. Das Prinzip ist mir klar: (y 2 -y 1) / (x 2 -x 1) = (y-y 1) / (x-x 1)Step 2: Perform multiple linear regression. if your data is already sorted in arrays, consider to use MathNet. In this tutorial, we explain the concepts of interpolation and regression and their similarities and differences. So here, “4” is the day, and “2” is the growth inches of the paddy. com Linear Interpolation in Excel. About Press Copyright Contact us Creators Advertise Developers Terms Privacy Policy & Safety How YouTube works Test new features NFL Sunday Ticket Press Copyright. The existing values are known x-values and y-values, and the future value is predicted by using linear regression. 2. 1. exp (b. a. 2. Linear interpolation. We write. x^b and etcetera. In the case of a two-dimensional plane, this dependence is expressed by the following. On the off chance that we leave the Type as Linear, Excel will utilize the accompanying equation to figure out what step is worth using to fill in the missing information: Step = (End – Start)/ (#Missing obs + 1) For this model, it decides the step worth to be: (34 – 21)/ (4 + 1) = 2. , (xn, yn) is defined as the concatenation of linear interpolants between each pair of data points. The interpolation method is one of: "nearest" Return the nearest neighbor. Dynamic interpolation. The two functions can be used for a simple linear regression analysis, and in this article I am sharing patterns to easily replicate them in DAX. This tip explains how to use the function. tutorial for linear interpolation in Microsoft excelexcel formula: =FORECAST(B17,OFFSET(KnownY,MATCH(B17,KnownX,1)-1,0,2),OFFSET(KnownX,MATCH(B17,KnownX,1)-. Area Of Segment Formula. 2. Use the & operator to produce the exact same result. I assume that you want linear interpolation between 2 x values. Use INTERPXY to map a scattered (x,y) data points onto a uniform grid for easy plotting in Excel. T @ x) @ x. Interpolate input data to determine the value of yi at the points xi. To calculate monthly interest rate, the formula in C6 is: =RATE (C2*12, C3, ,C4) Please note that C2 contains the number of years. x f(x) 0 0. In computer science, a lookup table ( LUT) is an array that replaces runtime computation with a simpler array indexing operation, in a process termed as direct addressing. So if I understand you correctly you just want to interpolate in 3D. Since your data is approximately linear you can do a linear regression, and then use the results from that regression to calculate the next point, using y = w[0]*x + w[1] (keeping the notation from the linked example for y = mx + b). . Using the Water Level data, use interpolation to determine the height of the water at 17 seconds. Step 2: Fit a Multiple Linear Regression Model. Then this will give any required value of y at a known value of x. Linear Interpolation can even predict values for rainfall,. LINEAR must be changed to =FORECAST (depreciated soon). Interpolation is helpful in estimation of any desired value at some specific known coordinate point. For math, science, nutrition, history. The following step-by-step example shows how to use the TREND function to extrapolate data in practice in Excel. Step 3: Selecting Cell and Ranges Adjacent to Input Values and Names. Mit Hilfe der Tabelle kannst Du auf einfache Weise Deine eigenen Rechnungen kontrollieren und Zeit beim Lösen der Aufgaben sparen. Make sure that there are at least two data points as it is the minimum data points required. V contains the corresponding function values at each sample point. The savings in processing time can be significant, because retrieving a value from memory is often faster than carrying out an "expensive" computation or input. 2 Interpolate Using Trendline in Excel 1. We use the =OFFSET () and =MATCH () functions to select only a pair of points. Interpolation technique to use. See Interior-Point-Legacy Linear Programming. Dans l'exemple, pour x=1,6 y=4,2, pour x=8,5 , y=5,5. Linear interpolation assumes that there is a linear relationship between the coordinates of points in the interval between two known points. FORECAST, LINEST etc operate on the trendline -- a best-fit curve for the data, which is usually not the actual data. Just read the context to get the basic insight about how to do interpolation, its formula, and. r. For the full list of videos and more revision resources visit 3: Using an Interpolation Approach. -2. Adding the module automatically opens a new code window. Interpolation is the process of estimating an unknown value of a function between two known values. Click on the scatterplot part icon. 4. Each method is quite easy. eBook ISBN 978-88-7642-638-4 Published: 05 May 2018. About Us. . Linear interpolation involves estimating a new value by connecting two adjacent known values with a straight line. Login. Apparent Interpolation Available only when the interpolation is performed on a graph. Extrapolation Formula. Steps: First of all, let’s assume Depth of Flow = X and Discharge = Y. Linear interpolation in Excel means forecasting or guessing the next value of any certain variable given on the current data. interpolation. After that, go to Add Chart Element > Trendline > Linear. Linear Interpolation. One of: ‘linear’: Ignore the index and treat the values as equally spaced. Back to top. Double Interpolation is very familiar to Engineers who are using it for every Design ProblemsThose who want to do Double Interpolate in excel this Video will. 33 and 1. We've been given that Y is 100. 1) Der Beiwert n gibt die Ausfallwahrscheinlichkeit an, d. Features - Multivariate interpolation from scattered data. Vq = interp3(X,Y,Z,V,Xq,Yq,Zq) returns interpolated values of a function of three variables at specific query points using linear interpolation. Linear interpolation is used to find an unknown value of a function between any two known points. How to Perform Linear Interpolation in Excel: Step-by-Step Tutorial. Cpk Formula. 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. If you don’t see Data Analysis as an option, you need to first load the Analysis ToolPak. Click Solver Add-In, then click Go. The approach, of course, is to. Lastly, let us look at the linear interpolation. Step 2: Add a trendline. Eine gängige und beliebte Bewertungsmethode bei Vergabeverfahren ist die Umrechnung der Angebotspreise in Preispunkte durch eine lineare Interpolation bei der der günstigste Angebotspreis die maximale Preispunktzahl erhält und ein fiktives Angebot mit einem Angebotspreis vom Zweifachen des günstigsten Angebotspreises 0 Preispunkte erhält. Linear-and-bilinear-interpolation-in-Excel. e. T @ y. And the second interpolates between z data. Alternatively, we could use Excel’s FORECAST function (or FORECAST. Examples of usage are included with the XonGrid archive. So if you have 2-d table, you can find out which formula fits best your data, using Excel's "trend line" feature. Excel provides us with a couple of tools to perform Least Squares calculations, but they are all centered around the simpler functions: simple Linear functions of the shape. Spacing of perspective points. Also, it calculates (or approximates) the. Then check the boxes next to Display Equation on chart and Display R. A table with this spacing and quadratic interpolationIt performs linear interpolation requiring at most one multiply per output sample. Here are the steps to follow for this online tool: First, enter the values of x1 and y1. First, you need the data graph so Excel can fit a line to the data and g. "Lagrange interpolation formula", Encyclopedia of Mathematics, EMS Press, 2001 [1994] ALGLIB has an implementations in C++ / C# / VBA / Pascal. Interpolation as used here is different to "smoothing", the techniques discussed here have the characteristic that the estimated curve passes through all the given points. Excel Linear #Interpolation using the #FORECAST built-in function#excel #linearinterpolation #math #finance #accounting #science #engineering Linear interpolation on a data set (red points) consists of pieces of linear interpolants (blue lines). Interpolation is a method for estimating the value of a function between any two known values. ”. Save Copy. First, let’s enter the values for the following dataset into Excel: Step 2: Check if the Data Follows a Linear Trend. Actually you have a 3-d table - x and y are independent variables, and the one you need to find is z. It is easy to perform interpolation of non-linear 2D data in Excel. Wenn zwei bekannte Werte (x 1 , y 1 ) und (x 2 , y 2 ) gegeben sind, können. Click Options. Use linear interpolation to estimate the life expectancy of a person born. , x and y) using repeated linear interpolation. Trilinear interpolation is a method of multivariate interpolation on a 3-dimensional regular grid. Pricing. Let us see some examples to understand this better. Dados dos valores conocidos (x 1 , y 1 ) y (x 2 , y 2 ), podemos estimar el valor de y para algún punto x usando la siguiente fórmula: y = y 1 + (xx 1 ) (y 2 -y 1 ) / (x 2 -x 1. Actually you have a 3-d table - x and y are independent variables, and the one you need to find is z. Make a scatter plot of the data. xll and for the 64 bits version of Excel select XonGrid-w64. In fact, we can use arbitrary functions, as long as they are defined at all our data points (x_j). Use the Life Expectancy table below to answer the questions. The query points are locations where interp1q uses linear interpolation to determine the approximate value of the function represented by Y. Propane Formula. Bei der linearen Interpolation werden alle Werte zwischen Anfang und Ende so berechnet, dass die Änderung. Steps: At first, choose the range of data ( B4:C12 ). By default, it is set to linear thus, we would not change it. scatter (x_mesh, yinterp, zinterp, c='k', marker='s. You can use interpolation to fill-in missing data, smooth existing data, make predictions, and more. Mathcad handles two dimensional cubic spline interpolation in much the same way as the one-dimensional case discussed earlier. Rows. Voici les syntaxes que vous devrez utiliser: =PENTEy_connus, x_connus. 2 Newton’s Backward Interpolation Formula Newton’s backward interpolation formula is used to interpolate the values of near the end ( ) and to extrapolate the values when ( ), within the range of given data points . 66. Here, we create a straight line that connects two values and estimates the future value. For instance, for x=3 with your example lists, the containing interval would be [x1,x2]= [2. Step 1: Import the pandas and matplotlib libraries. Linear interpolation is the process of estimating an unknown value of a function between two known values. ’. The calculator plots the interpolated point on a line and shows a step-by-step solution by using linear interpolation formula. x+b, y-a. 864151123x + -591. Use the INTERCEPT function to calculate the value of a dependent variable when. Cubic Bézier curve with four control points The basis functions on the range t in [0,1] for cubic Bézier curves: blue: y = (1 − t) 3, green: y = 3(1 − t) 2 t, red: y = 3(1 − t)t 2, and cyan: y = t 3. x_mesh = np. By default, Excel uses the Interpolation approach where the missing points are filled based on the weighted average of neighboring points. Introduction Interpolation methods are a common approach to the more general area of line search for optimization. Für die Interpolation werden der letzte gültige Wert vor dem fehlenden Wert und der erste gültige Wert nach dem fehlenden Wert verwendet. You can conduct regression analysis using the library of linear and nonlinear models provided or. 3 - 5. Step 2: Fill the formula with the desired values. Linear Interpolation in Excel: Step-by-Step Example. 6 - 8. Grade. This class returns a function whose call method uses spline interpolation to find the value of new points. valueThen, click on the graph. xlam’. example. This looks very promising. Example of bilinear interpolation on the unit square with the z values 0, 1, 1 and 0. "previous"XonGrid is a free Excel library of functions to perform 1D, 2D, 3D, 4D and arbitrary dimension (ND) interpolations from scattered data. Free Templates. exp (b. Now for p4 to be in the same plane, it satisfies the plane equation: No linear system to solve, you just need a cross product. Contact Sales. The median must be within the second group as 20% 20 % are less and 20% 20 % are more. Let’s discuss the. Understand more on linear interpolation formula along with derivation, examples, and FAQs. Chi dei due assumeresti nella tua azienda?1) Assumi me, ho imparato Excel su YouTube2) Io invece ho seguito due corsi: 👉 Click on ‘Insert’ and expand the dropdown for ‘Scatter Chart’ and select the ‘Scatter’ thumbnail (first one) Now a scatter plot will appear, and we will draw the regression line. The FORECAST function, which can be used in Excel to perform linear interpolation, is =FORECAST (x,known_ys,known_xs). Linear interpolation is often not accurate for non-linear data. To get the total number of payment periods, we multiply it by 12. 5. Each Panel Bank uses specific input data, and tailor-made modelling techniques. interpolate is a convenient method to create a function based on fixed data points, which can be evaluated anywhere within the domain defined by the given data using linear interpolation. ; R-squared value measures the trendline reliability - the nearer R 2 is to. Interpolation is helpful to estimate the function of the un-tabulated points. DAX, originating in Power Pivot, shares many functions with Excel. We can use the following basic syntax to perform linear interpolation. Behandelt werden Gaußverwandte Verfahren zur Lösung linearer Gleichungssysteme, Iterationsverfahren zur Lösung nicht linearer Gleichungen und Newton- sowie Gradientenverfahren zur Lösung nicht linearer Gleichungssysteme. LINEARE. Calculate, or predict, a future value by using existing values. Cette vidéo concerne l'interpolation et extrapolation linéaire sur Excel. 3. . Rem Linear Interpolation from a x and y ordered data, for a value: Rem TODO: make it work with unordered Data. The length of y along the interpolation axis must be equal to the length of x. Using the earnings data for January 2019, we can predict the expenses for the. interpolate)# There are several general facilities available in SciPy for interpolation and smoothing for data in 1, 2, and higher dimensions. . Find links to more information about charting and performing a regression. What is the value of the ball's y -coordinate in frame 19 ?In numerical analysis, polynomial interpolation is the interpolation of a given bivariate data set by the polynomial of lowest possible degree that passes through the points of the dataset. Thanks. In this book the principles of interpolation theory are illustrated aiming at simplification rather than at generality. For instance, you can express the nonlinear function: Y=e B0 X 1B1 X 2B2. Replace "x" with the value you want to. Eine gängige und beliebte Bewertungsmethode bei Vergabeverfahren ist die Umrechnung der Angebotspreise in Preispunkte durch eine lineare Interpolation bei der der günstigste Angebotspreis die maximale Preispunktzahl erhält und ein fiktives Angebot mit einem Angebotspreis vom Zweifachen des günstigsten Angebotspreises 0. Dynamische Interpolation - Excel, Interpolation. [x,y] = ndgrid (0:10,0:5); Create two different sets of sample values at the sample points and concatenate them as pages in a 3-D array. . Along the top ribbon in Excel, go to the Data tab and click on Data Analysis. Therefore a spacing of h = :04 would be su cient. It is to notify you that. vq = interp1 (x,v,xq) returns interpolated values of a 1-D function at specific query points using linear interpolation. Lineare Interpolation, Herleitung, Formel Wenn noch spezielle Fragen sind: Playlists zu allen Mathe-Themen findet ihr auf der Star. The LOESS curve approximates the original sine wave. Select ‘Linear Trendline’ and ‘Display Equation on Chart’ in the. This results in a continuous curve, with a discontinuous derivative (in. Make a scatter plot of the data. There's an option for it in the Insert tab, but I can't press it for whatever reason. Use the axis parameter to. “X” is the first set of values, and “Y” is the second set of values. Firstly, we can simply input the basic mathematical formula of linear interpolation in Excel to get the result. Interpolation is a method for generating points between given points. The One-liner. Step 3: Add a Trendline. Input the set of points, choose one of the following interpolation methods ( Linear interpolation, Lagrange interpolation or Cubic Spline interpolation) and click "Interpolate" . Pour plus de contenu, je vous invite à consulter le site: 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. 4 Answers. I've been tinkering around with Excel for a school assignment for a few days and I just can't figure out how to interpolate a y value in order to find an x value. Lineare Interpolation, Herleitung, Formel Wenn noch spezielle Fragen sind: Playlists zu allen Mathe-Themen findet ihr auf der Star. Linear interpolation is used for fitting curves using linear polynomials. To get annual interest rate, we multiply the monthly rate by 12. Percentile IF in table. Interpolation. In this video, we'll show you how to interpolate a value using the Linear Trendline. I know a solution for 2-d table, but for 3-d it should be similar. The goal of interpolation is to produce a new Y value for each value of t i. Ich versuche gerade, lineare Interpolationen so gut wie möglich zu machen, indem ich die fehlerhaften Datenpunkte ausschließe und interpoliere. METHOD OF QUADRATIC INTERPOLATION KELLER VANDEBOGERT 1. Applying Trendline for Data Extrapolation in Excel. Next How to Impute Missing Values in Pandas (Including Example) Leave a Reply Cancel reply. known_x’s – a range of x. 0. Interpolate over a 2-D grid. If z is a vector value, consider using. Questa funzione viene utilizzata per generare una previsione lineare a seconda dei dati forniti, proprio. g(x) = gi(x), for xi ≤ x ≤ xi+1 g ( x) = g i ( x), for x i ≤ x. in this tutorial, I explained Linear interpolation by ms excel, and you will be familiar to make an excel sheet to perform interpolation#Linear_Interpolation. FORECAST expects a data range, so we use OFFSET to create a reference to a data range. To add a regression line, choose "Add Chart Element" from the "Chart. Linear Interpolation is not an accurate method in MS Excel; however, it is time-saving and fast. In diesem Tutorial wird erklärt, wie Sie mithilfe der linearen Interpolation einen unbekannten y-Wert basierend auf einem x-Wert in Excel finden. So, the formula in C8 is: =RATE (C2*12, C3, ,C4) * 12. LINEAR () (2016) Statistical: Returns a future value based on existing values. Step 2: Fill the formula with the desired values. The yellow shaded cell, A2, holds the known X value, and a formula in cell B2 holds the calculated Y value. Select the chart to see two new tabs in the ribbon, “Design” and “Format. Next, we’ll fit the logarithmic regression model. So, let us apply the values to the above formula. It is a method of curve fitting by using linear polynomials to plot new data points which lie in the range of a discrete set of known data points. Pour plus de contenu, je vous invite à consulter le site: One-dimensional interpolation. The basic idea then follows these steps: Find the indices of the values in x_values which define an interval containing x. Linear Interpolation is used in various disciplines like statistical, economics, price determination, etc. 2. The first method involves putting the linear interpolation mathematical formula into a calculator. XlXtrFun has been used for years by engineering and research and development personnel on every. 2. Locate where 325 C (B) would be. 5 Then Stop nR = rX. The interest costs can be calculated randomly, but to use in the formula both costs should be different. In linear interpolation, you might get a new data point from. Oi is the observed value for the ith observation in the dataset. Since 1 < x < 2 1 < x < 2, we use the second and third data points to compute the linear interpolation. To make the above LinearInterpolation function available in excel like other functions, you need to carry out the following steps:. Hinweis: In Excel 2016 die Funktion VORHERSAGE durch VORHERSAGE ersetzt. coeffnames (ft) ans = 3x1 cell {'a'} {'b'} {'c'} Note that this is different from the order of the coefficients in the expression used to create ft with fittype. Step 2: Next, gather as many as possible historical and current data points in order to build a function. It is: y = 2. Interpolating in Excel helps you estimate a value between two known values. When referring to the tables to find the specific properties, very often the property which we are interested in lies between the tabulated values. To explain the relationship between these variables, we need to make a scatter plot. Excel trendline types. Interaktiver, gratis online Grafikrechner von GeoGebra: zeichne Funktionen, stelle Daten dar, ziehe Schieberegler, und viel mehr!es geht um lineare Interpolation - ich hab auch bereits eine Lösung entwickelt aber die Formel scheint mir sehr lang zu sein. This produces the value 36. Then, theBelow is a close-up of an interpolated data point. To do so, click on any of the individual points in the scatterplot. In our example, the time taken changes by 1 minute when the speed of the bike. 5 Then Stop nR = rX. 5. 3. In other words, r-squared shows how well the data fit the regression model (the goodness of fit). TREND function is a built-in function in excel which comes under the category of Statistical function to calculate the linear trend line of known y’s and know x’s. Interpolation falls into the mathematical field of numerical analysis. "pchip" Vous pouvez utiliser les fonctions SLOPE et INTERCEPT dans Excel pour l'interpolation linéaire de la valeur Y. import pandas as pd. After entering all of the required values, the linear interpolation calculator automatically generates for you the values of m and b given the formula slope intercept form: y = mx + b. It is usually applied to functions sampled on a 2D. Cette vidéo concerne la méthode et la démonstration d'une interpolation linéaire. 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. For example: for points 1 and 2, we may interpolate and find points 1. Bei der Interpolation wird ein unbekannter Wert einer Funktion zwischen zwei bekannten Werten geschätzt.