Question

lailta tracked the amount of time she studied each week and her score on a weekly chemistry quiz for eight weeks. she made this scatter plot from the data. determine whether there is a correlation between the data in the scatter plot. if there is a correlation, does this mean that a change in the amount of time spent studying causes a change in lailtas scores.

study time and quiz scores

the data shows that there is a positive correlation between study time and higher quiz scores. there is evidence of other factors that could influence both the study time and the scores.

the data shows that there is a negative correlation between study time and higher quiz scores. it is not likely that studying leads to higher scores so this data does not show causation.

the data shows that there is no correlation between study time and higher quiz scores.

the data shows that there is a positive correlation between study time and higher quiz scores. it is likely that studying does lead to higher scores, so the data also shows causation.

Explanation:

• Positive Correlation: As study time (x - axis) increases, quiz scores (y - axis) generally increase. So, there is a positive correlation.
• Causation vs Correlation: Just because there is a positive correlation (relationship) between study time and quiz scores does not necessarily mean that study time is the only cause. There could be other factors (e.g., prior knowledge, test - taking skills) that influence both study time and scores.

Answer:

The data shows that there is a positive correlation between study time and higher quiz scores. There is evidence of other factors that could influence both the study time and the scores.