An asymptote is a line on a scatter plot that represents a value that a data point will never reach. It is usually a straight line that approaches but never touches the plotted points.
If the plotted points on your scatter plot seem to be getting closer and closer to a straight line but never actually touch it, then you may have asymptote trouble.
The first step is to determine if the data truly has an asymptote or if it is just a coincidence that the points appear to be approaching a straight line. If an asymptote is present, you can try using a different type of regression or line fit to better model the data.
Regression is a statistical technique used to find the relationship between variables, while line fit is a visual representation of that relationship on a scatter plot. In other words, regression is the mathematical calculation, and line fit is the plotted line on the graph.
No, an asymptote is a characteristic of the data and cannot be removed. However, you can try different regression or line fit methods to better represent the data and minimize the appearance of the asymptote.