Error Analysis Help: Line of Best Fit with Error Bars

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SUMMARY

This discussion focuses on finding an effective method for calculating a line of best fit through three data points while incorporating individual error bars. The user seeks software solutions that can account for varying errors at each point, as traditional tools like Excel do not provide accurate fits when errors are considered separately. The box method is mentioned as a tedious alternative, and the importance of ensuring that the gradient lines encompass all error boxes is emphasized.

PREREQUISITES
  • Understanding of linear regression and lines of best fit
  • Familiarity with error analysis and error bars
  • Basic knowledge of statistical software or programming for data analysis
  • Experience with Excel or similar spreadsheet tools
NEXT STEPS
  • Research software options for error analysis in regression, such as R or Python libraries (e.g., NumPy, SciPy)
  • Learn about the method of least squares and its application in error-weighted fitting
  • Explore advanced plotting tools like Matplotlib for visualizing error bars with regression lines
  • Investigate statistical techniques for calculating confidence intervals for gradients
USEFUL FOR

Researchers, data analysts, and students in fields requiring precise data fitting and error analysis, particularly those working with small datasets and varying error measurements.

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Homework Statement



I am trying to work out if there is an elegant way to do a line of best fit(straight) through a set of points (3) while taking into consideration their error bars? Clearly I'm looking for a piece of software that can do this. Obviously excel, etc can do a standard straight line + equation and add errors later on but the fit will be different if errors are considered in the place on each point individually.

The reason I'm doing this is because I want to know the error in the gradient, taking account of the fact that each point has an error ( every point has different errors)




The Attempt at a Solution



The box method noted here will sort of work but it is quite tedious

http://wwwchem.uwimona.edu.jm:1104/lab_manuals/c10appendix7.html

But I'm looking for alternative ways of doing this. I only have 3 points of data as well.

Regards,
sid
 
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You only have three points of data?!??!

There's your first problem.

In the past I have used an error box method, but not the same as the one on the linked website.

You have x error bars and y error bars - these can be made into error boxes around each data point.

The line of maximum gradient then goes from the bottom right hand corner of your smallest x value to the top left corner of your highest x value.

The line of minimum gradient goes from the top left of the smallest x error box to the bottom right of the highest x error box.

Make sure that these lines go through ALL error boxes - if they don't, you have to make some adjustments.

The points just mentioned and gradients are pretty easy to spit out of excel.

Good luck.
 
I can't take any more points

While i understand the box method, I was interested in a some sort of program being able to do the hard work for me lol

sid
 

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