Thanks for the provided info! If I understand it correctly, then in order to apply the least square method for regression analysis the data should be mapped to a linear model in order to get better results? Converting the data to ln y indeed gives better results, but is still not a perfect fit like I have for instance with polynomial functions. Are there other methods available for curve fitting which don't have this requirement?
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