If a scatterplot's line of best fit predicts higher values than the observed data, what does that suggest about the model?

• A. It underestimates the strength of the relationship.
• B. It overestimates the relationship between the variables.
• C. It perfectly matches the data.
• D. There is no relationship between the variables.

Answer: (B)

The line of best fit represents predicted y values from x. If that line sits above the actual data, it means the model is guessing higher y values than are observed for most x. In other words, the predictions overstate how much y increases with x, so the model implies a stronger relationship than the data actually show. The residuals (observed minus predicted) are typically negative, indicating a systematic upward bias in the predictions. This is why the interpretation is that the model overestimates the relationship between the variables.