The highest point in the scatter is the point for Illinois, at 1807. The two just below it, at 1778 and 1777, are for Minnesota and Iowa. The lowest points are at 1391 and 1385, for Maine and D.C. respectively.
Pick all the options that are correct.
The scatter diagram shows that
1. The state of Illinois did a better job preparing its students for the SAT than the state of Maine did.
2. The students who took the test in Illinois did better, on average, than those who took the test in Maine.
3. A higher percentage of students took the test in Maine than in Illinois.
4. In general, states with high participation rates tended to have low scores.
5. The higher scoring states tended to be those that had lower participation rates, in general.
2, 3
the answer is wrong...
2,3,4,5
You do not mention what is being measured. Do the numbers represent SAT Scores or the number of people who took the test (participation rates)?
Points on a scatter diagram are each represented by two numbers, one on the ordinate (Y axis) and the other on the abscissa (X axis).
With the current absence of data, I would pick 2.
To analyze the scatter diagram and determine which statements are correct, we can consider the information provided.
1. The scatter diagram does not provide direct information about how well states prepared their students for the SAT. Therefore, we cannot conclude that Illinois did a better job preparing its students than Maine.
2. The scatter diagram includes data on the scores of students who took the test in different states. However, we cannot determine the average scores from the highest and lowest points in the scatter. Therefore, we cannot conclude that Illinois students did better, on average, than Maine students.
3. The scatter diagram does not provide information about the percentage of students who took the test in each state. Therefore, we cannot determine if a higher percentage of students took the test in Maine than in Illinois.
4. The scatter diagram shows a positive correlation between participation rates and scores. Lower scores are associated with higher participation rates. Therefore, we can conclude that states with high participation rates tended to have low scores.
5. The scatter diagram also suggests a negative correlation between scores and participation rates. Higher scoring states tend to have lower participation rates. Therefore, we can conclude that the higher scoring states tend to be those that had lower participation rates.
Based on the above analysis, statements 4 and 5 are correct.