To estimate the test score of someone who slept only 1 hour according to the line of best fit, we would need to refer to the scatter plot and the line itself. Assuming the scatter plot shows a negative correlation (indicating that less sleep leads to lower test scores), you would look at where the point representing 1 hour of sleep intersects the line of best fit.
Without the actual scatter plot, I would suggest that you choose the response that appears to be the most reasonable on the given options:
- If the line trend aligns with lower scores for reduced sleep, and based on typical trends, a score around the lower range (like 25 or 30) would be more plausible than 40 or 55.
If you have access to the scatter plot or the parameters of the function of the line of best fit, you could use those to derive a more accurate estimate. Based on typical research findings, I would suggest B (25) or C (30) could be the most reasonable estimates for such low amounts of sleep. However, without exact visual data, this answer remains somewhat speculative.