Linear fitting in origin: explained step by step

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0:00 linear fitting in origin
0:42 how to perform linear fitting in origin
2:06 origin linear fit and regression analysis
3:50 linear and polynomial regression in origin

Exercise File (Origin File):
https://drive.google.com/file/d/1bBwwk576s3sFcszHtva3wOCQnAFMHd3a/view?usp=sharing

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An outlier is typically described as a data point or observation in a collection of data points that is "very distant" from the other points and thus could be due to, for example, some fault in the measurement procedure. Identification and removal of outliers are often controversial and is typical "more acceptable" in situations where the model used to describe the data is well known and well accepted.
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