Calculating error in gradient of a graph

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To calculate the error in the gradient of a graph where points closely align with the line, the standard method of using maximum and minimum slopes may not apply. The suggested formula for error in gradient is ±(max slope - min slope) / 2√N. It is important to consider whether error bars for the data points are available, as they can significantly influence the calculation. Accurate error estimation is crucial for reliable data analysis. Engaging with additional resources or discussions may provide further insights into this topic.
yardy_genius
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Hello , i would like to know how do you calculate the error in the gradient of a graph when all the points fall on the line or is so close to the line to draw the maximum and minimum slope and using it in the general formula is not applicable.

error in gradient = ±(max.slope- min slope) /2√N

thanks guys.
 
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