Based on the scatter plot provided, we can infer the direction of the relationship between the hours of sleep and test scores. Assuming the scatter plot shows a positive correlation:
B. In general, increasing sleep before a test leads to a higher test score.
This would be the valid inference if the data suggests a trend that shows test scores tend to improve with more sleep. However, without seeing the actual scatter plot data, we can only assume this is the correct interpretation based on common findings in similar studies.
A study was done on the effects of sleeping on test scores. The results are shown in the scatter plot below.
Which inference is valid?
Responses
A In general, increasing sleep before a test leads to a lower test score.In general, increasing sleep before a test leads to a lower test score.
B In general, increasing sleep before a test leads to a higher test score.In general, increasing sleep before a test leads to a higher test score.
C When comparing two test scores, the person with the higher test score is always the person who had more hours of sleep.When comparing two test scores, the person with the higher test score is always the person who had more hours of sleep.
D Amount of sleep has no impact on test scores.
1 answer
1 answer