Determine Best Fit Line and Uncertainties Using Min and Max Slope Method

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The minimum and maximum slope method is used to determine the line of best fit and assess uncertainties in data by calculating the range of slopes that fit the data points. This method involves identifying the steepest and shallowest lines that can be drawn through the data, which helps in understanding the variability of the results. While specific resources on this method may be limited, general information about best fit lines can be found through online searches. Utilizing these resources can provide a clearer understanding of how to apply the method effectively. This approach is essential for accurate data analysis in various scientific contexts.
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What is the minimum and maximum slope method and how do i use this to determine the line of best fit and uncertainties in the data?

I can't find information on google or my textbook about this method which is odd.
 
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welcome to pf!

hi joshposhmosh! welcome to pf! :smile:

google "best fit" also, and you'll get eg http://www2.selu.edu/Academics/Faculty/rallain/plab193/page1/page35/page36/page36.html" :wink:
 
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I do not have a good working knowledge of physics yet. I tried to piece this together but after researching this, I couldn’t figure out the correct laws of physics to combine to develop a formula to answer this question. Ex. 1 - A moving object impacts a static object at a constant velocity. Ex. 2 - A moving object impacts a static object at the same velocity but is accelerating at the moment of impact. Assuming the mass of the objects is the same and the velocity at the moment of impact...

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