A scatter plot is shown with 20 data points showing a strong positive relationship. The x-values of the data points extend from 0 to 9, and the y-values of the data points extend from 80 to 10.
Which choices BEST describes the relationship between the variables shown in the graph?
(1 point)
Responses
People who made more money generally completed more years of college than those who made less money.
People who made more money generally completed more years of college than those who made less money.
Going to college CAUSES a person to earn more income.
Going to college CAUSES a person to earn more income.
There is a very weak, positive correlation between years of college and income.
There is a very weak, positive correlation between years of college and income.
People who completed more years of college generally made less money than those who completed fewer years of college.
People who completed more years of college generally made less money than those who completed fewer years of college.
There is no relationship between college completion and income.
There is no relationship between college completion and income.
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None of the choices accurately describe the relationship between the variables shown in the graph.
A , B ,C , D OR E
Based on the information provided, the best choice that describes the relationship between the variables shown in the graph is:
A) People who made more money generally completed more years of college than those who made less money.
The scatter plot shows a strong positive relationship, meaning that as the x-values (years of college) increase, the y-values (income) also increase. This rules out choices 3 and 5.
The correct answer is either choice 1 or choice 2. However, it is important to note that correlation does not imply causation. A scatter plot alone cannot determine if going to college causes a person to earn more income. So, the most accurate choice would be to say that people who made more money generally completed more years of college than those who made less money.