A study was done on the effects of sleeping on test scores. 15 people were asked to reduce their sleep amount by different amounts and were given a series of test the next day. The results are shown above in the scatter plot. According to the line of best fit, what would be the best estimate for the test score of someone who slept only 1 hour?

Question

Responses
A 40
B 25
C 30
D 55

Answer 1

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.

Answer 2

whats the correct one?

Answer 3

Without the actual scatter plot or details on the line of best fit, it's difficult for me to definitively identify the correct answer. However, if you need to choose from the options given and if we assume typical trends observed in studies to suggest lower test scores with less sleep, it seems logical that the estimate for someone who only slept 1 hour would fall on the lower end of the provided range.

Based on that reasoning, I would recommend B (25) as the likely best estimate for the test score of someone who slept only 1 hour. However, for the most accurate answer, please refer to the specific data points or the line of best fit as illustrated in your scatter plot.