Book contents
- Experimental Methods for Science and Engineering Students
- Reviews
- Experimental Methods for Science and Engineering Students
- Copyright page
- Dedication
- Contents
- Preface to the Second Edition
- Preface to the First Edition
- 1 Introduction to Experimentation
- 2 Characteristics of Experimental Data
- 3 Graphical Presentation of Data
- 4 Dealing with Uncertainties
- 5 Statistical Approach to Variability in Measurements
- 6 Fitting a Line to x–y Data Using the Method of Least Squares
- 7 Report Writing and Presentations
- 8 Using Excel to Present and Analyse Data
- 9 Computer-Aided Data Capture
- Book part
- Solutions to Exercises and Problems
- Further Reading
- References
- Index
6 - Fitting a Line to x–y Data Using the Method of Least Squares
Published online by Cambridge University Press: 24 August 2019
- Experimental Methods for Science and Engineering Students
- Reviews
- Experimental Methods for Science and Engineering Students
- Copyright page
- Dedication
- Contents
- Preface to the Second Edition
- Preface to the First Edition
- 1 Introduction to Experimentation
- 2 Characteristics of Experimental Data
- 3 Graphical Presentation of Data
- 4 Dealing with Uncertainties
- 5 Statistical Approach to Variability in Measurements
- 6 Fitting a Line to x–y Data Using the Method of Least Squares
- 7 Report Writing and Presentations
- 8 Using Excel to Present and Analyse Data
- 9 Computer-Aided Data Capture
- Book part
- Solutions to Exercises and Problems
- Further Reading
- References
- Index
Summary
This chapter introduces the technique of fitting equations to data using least squares. Both unweighted fitting and weighted fitting are considered. Worked examples are included in the chapter. The technique described can be extended to situations where equations have more than two parameters. Discussion is confined to cases where there is a linear relationship between x and y and the errors in measured quantities are limited to the y quantity.
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- Chapter
- Information
- Experimental Methods for Science and Engineering StudentsAn Introduction to the Analysis and Presentation of Data, pp. 111 - 138Publisher: Cambridge University PressPrint publication year: 2019