The conversation between human and AI assistant.
When the mean suggest something different than the linear regression, how do I justify it?
Can you explain why the mean and linear regression can suggest different things in the first place?
Of course. The mean is a measure of central tendency that represents the average value of a data set. Linear regression, on the other hand, is a statistical method used to find the relationship between two variables. The results of linear regression are based on the assumption of a linear relationship, which may not always be present in the data. Therefore, it's possible for the mean and linear regression to suggest different information.