The following table gives the science scores and times spent studying for 10 students: name scores (%) time spent studying (hrs) angela 90 4 brad 70 2 curt 80 3 dozer 60 1 enda 50 1 frank 40 2 gill 100 4 hailey 100 3 intra 50 1 john 80 3 describe the correlation between the score and time spent studying.

There appears to be a positive correlation between the number of hour spent studydng and the score on the test.

When identifying the independent and dependent quantities, we think about what would cause the other to change.  The score on the test would not cause the number of hours spent studying to change; rather, the number of hours spent studying would cause the score to change.  This means that the number of hours studying would be the independent quantity and the score would be the dependent quantity.

Plotting the graph with the time studying on the x-axis (independent) and the score on the y-axis (dependent) gives you the graph shown.  You can see in the image that there seems to be a positive correlation; the data seem to generally be heading upward.

Agc and bgd are vertical angles