A math teacher gave him math test interpret the scatterplot to determine which point is the outlier
To determine which point is the outlier on a scatterplot, we first need to visually inspect the plot to see if there is a data point that is far away from the general pattern of points. An outlier is a data point that is significantly different from the other points in the dataset.
To interpret the scatterplot and identify the outlier, look for a point that is located much further away from the main cluster of points. This point may be significantly higher or lower in value compared to the other points.
Once you have identified the potential outlier, you can also calculate the residuals for each data point. The residual is the vertical distance between a data point and the predicted value from a regression line. An outlier will typically have a larger residual compared to the other data points.
Ultimately, determining which point is the outlier depends on the context of the data and the specific characteristics of the scatterplot. It is important to consider the data distribution and any relevant information before identifying an outlier.