The example datas are a sin-curve (look the attachment).Documents in german language, but you find a lot of information about polynom regression with MS-EXCEL over the internet.Įxamples to use this tool are the ASTO-clock and the calculation of the absolute moisture of the air from measured values of the temperature and the relative moisture of the air. Linear and nonlinear regression methods are reviewed, and a worked example using electroless nickel. With this polynomial z1' the total curve is in particular possible to you it to dismantle the total data area in sections (Part curves) um so for instance through two or more part curves, in each case with smaller (1 to 3) order, to approximate (and so for the LOGO! to tool usably and/or in programmable mode)! The numerical formats are predominant onto the needs the LOGO! adjusted. Then calculated (by means of so-called EXCEL MATRIX functions) a compensation polynomial about the entire x value range and (after entspr echender of definition of xa and xe as well as the polynomial parameters) a further polynomial z1' (and/or his coefficients) for a x part range of values of xa to xe. Temporarily set the value of as 0. List the applied suction pressure as the independent variable in column A and measured soil water content () as the dependent variable in column B (Figure 1). For the regression itself the order of the polynomial and the value range for the b coefficient is to be defined (sheed "Regression"). Nonlinear regression parameters estimation Here are the steps to estimate parameters and n in Excel using nonlinear regression. The goal of this study is to compare the nonlinear regression. It enables the calculation of polynom coefficients according to input of corresponding date pairs (at least 2 to at the most 4000) in a separate table (sheed "Daten AQ=f(Ax)"). The objective of this present study was to introduce a simple, easily understood method for carrying out non-linear regression analysis based on user input functions. Nonlinear regression is inherently more difficult than linear. In the German forum part I developed a (makro-free)Tool " PolynomRegressionDynamisch_LOGO_V2.xls".