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- 1.
Note, however, that this can also be a disadvantage. If the data set contains “outliers” (that is, measurement values that due to random, disproportionally large measurement errors deviate strongly from the true value), the position of the regression line may be influenced heavily by very few measurement points (precisely the outliers), which can lead to an unusable result.
Reference
H. Heuser, Lehrbuch der Analysis, Teil 1+2 (Teubner, Stuttgart, Germany, 1988)
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Kruse, R., Borgelt, C., Braune, C., Mostaghim, S., Steinbrecher, M. (2016). Mathematical Remarks for Neural Networks. In: Computational Intelligence. Texts in Computer Science. Springer, London. https://doi.org/10.1007/978-1-4471-7296-3_10
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