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    • https://phys.libretexts.org/Courses/Berea_College/Introductory_Physics%3A_Berea_College/28%3A_The_Python_Programming_Language/28.04%3A_The_QExpy_python_package_for_experimental_physics
      We can use QExpy to graph the data as well as determine (“fit”) for the slope of the line that best describes the data, since we expect that the slope will correspond to the value of k. Since we e...We can use QExpy to graph the data as well as determine (“fit”) for the slope of the line that best describes the data, since we expect that the slope will correspond to the value of k. Since we expect the slope of the data to be k, this provides us a method to determine k from the data as (0.61 ± 0.13) \text{sm}^{−\frac{1}{2}} . Performing a linear fit of the data is the best way to determine a constant of proportionality between the measurements.

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