Answer:
To create a residual plot, you need to first fit a model to the data. Without any information about the problem you are trying to solve or the model you are fitting, I will assume that you are trying to fit a linear regression model to these data points.
First, you would need to find the equation of the line that best fits the data using a regression analysis software or by hand. Let's assume that the equation of the line is:
y = 0.2x + 2.5
where y is the response variable (dependent variable) and x is the predictor variable (independent variable).
Next, you would calculate the predicted values of y (i.e., the values that the model predicts) for each value of x in your dataset, using the equation of the line. For example, for the first data point (13.8, 1.42), the predicted value of y would be:
y_predicted = 0.2 * 13.8 + 2.5 = 5.06
The residual for this data point would be the difference between the actual value of y and the predicted value of y:
residual = 1.42 - 5.06 = -3.64
You would repeat this process for each data point in your dataset, to get a list of residuals.