Final answer:
To determine which residual plot matches the given data, visualize the actual residual plots and compare them to the data.
Step-by-step explanation:
To determine which residual plot matches the given data, we need to understand what a residual plot represents. In a residual plot, the x-axis represents the independent variable (height in this case), and the y-axis represents the residual values (the differences between the observed and predicted values of the dependent variable, weight).
The best residual plot would show a random pattern with the residuals distributed evenly around the horizontal line at y = 0. This indicates that the linear regression model is a good fit for the data.
Without the actual residual plots to compare, it is not possible to determine which one matches the data. It would be best to refer to the original data and examine the residual plots visually to determine the best match.