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[DOC File]COMPUTER PROBLEM-SOLVING IN - Oakland University
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In this exercise you will use least-squares curve fitting to develop two equations to model the data given. Using these equations, we will predict the function values for two inputs and evaluate the prediction made by each of the curves and linear interpolation. Part A. X 5 10 15 20 25 30 35 40 45 50 Y 17 25 31 33 38 37 39 42 44 46 Using the
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[DOC File]Microsoft Excel Spreadsheet
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Polynomial Curve Fitting. Add a third worksheet to your “Last,_First_Regress” file, naming it “Polynomial Regression.” Enter the data set on this page into the spreadsheet. (see sample_b.xls on the ENGR-1122 webpage). Fit a linear equation to the data (Yest1=a1x + b1). Fit a second order equation to the data (Yest2=a2x2 + b2x +c2).
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[DOC File]USE OF NCSS (Number Cruncher Statistical Systems)
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Although we use Microsoft Excel in General Chemistry for data analysis and curve fitting, a more sophisticated package is required in Chemistry 160. NCSS written by Dr. Jerry Hintze meets virtually all our needs and hence has been adopted as the standard.
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[DOC File]Different Types of Plots Useful in Engineering Applications
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Exercise 6 – fitting equations to data (curve fitting) An engineer has built a wind-driven device that generates electricity. Table 7 summarizes the data that have been obtained with the device: Table 7: Power Generated by Turbine. Wind Velocity (mph) Power (watts) 0 0 5 1.5 10 7.3 15 12 20 30 25 65 30 130 35 200 40 270 45 360 50 515
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[DOC File]CURVE FITTING AND THE METHOD OF LEAST SQUARES
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CURVE FITTING AND THE METHOD OF LEAST SQUARES. Introduction. The full utilization of quantitative data typically involves the fitting of the data to a mathematical model. Fitting is usually performed for one of two purposes. On the one hand, the scientist wishes to determine a physical quantity and a measure of its uncertainty from experimental ...
least squares curve fitting excel

[DOC File]Using Solver in Excel - Michigan Technological University
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Using the Solver Add-in in Microsoft Excel® Faith A. Morrison. Associate Professor of Chemical Engineering. Michigan Technological University. February 15, 1999. Modified April 12, 2005. If you have a nonlinear model with adjustable parameters and some data you would like to fit the model to, the Excel® Solver option is a very nice way to ...
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[DOCX File]Welcome to Rod's Homepage
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Curve Fitting – Trajectory of Projectile. The excel file, ProjectileData, has three columns of data: time, distance, and height. Import each of these columns into MATLAB using either xlsread or the Import Data tool. The variable distance represents measurements of the x-position (horizontal position) of the projectile over time and the ...
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[DOC File]Signal Theory and Earnings Surprise
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Curve Fitting Methodology – Application of Signal Theory. With such a large data set to deal with, we have decided to use SAS instead of Microsoft Excel to handle the curve fitting part of our project. We used Excel for the curve fitting for our initial project, but we found it to be extremely time consuming.
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[DOC File]Curve Fitting
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These parameters may be obtained by fitting the model equation to experimental data as shown in Figure 5.3-2 where the curve represents the model equation and the circles represent the data. It should be noted that once equation (5.3-10) is integrated, the calculated temperature Ti depends nonlinearly on its parameters h and (, hence a ...
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[DOCX File]Universiti Teknologi MARA
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Regression and Curve fitting using Excel- Microsoft Office 2007. By Mohd Hanapiah Mohd Yusoff. 1.0 . Linear Regression. In curve fitting of experimental data, linear regression would mean fitting a simple equation such as . y x =mx ±C . onto a set of data {x,y} . The x. and . y. are independent and dependent variables, respectively, and . m ...
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Curve fitting excel