Question

When analyzing a scatterplot with a cluster, why should outliers generally be excluded when interpreting the relationship of the variables? make the writing short and write it like an 8th grader

Answer 1

When looking at a scatterplot with a cluster of points, it's important to ignore outliers because they can mess up our understanding of the main trend. Outliers are points that are very different from the others and can make it seem like there's a stronger or weaker relationship between the variables than there really is. By focusing on the main group of points, we get a clearer picture of how the two variables are connected.