Question

laila 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 variables. if there is a correlation, does this mean that a change in the amount of time spent studying causes a change in lailas scores.
study time and quiz scores
quiz scores
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:

Correlation shows a relationship (here, as study time increases, quiz scores increase - positive correlation). Causation implies one variable causes the other. The data only shows correlation (positive as study time up, scores up). But there could be other factors (like prior knowledge) affecting scores. So data shows positive correlation but not causation.

Answer:

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.