Check all of the statements that are true.
Responses
The line of best fit must show the middle score of the data as being on the line.
The line of best fit must show the middle score of the data as being on the line.
The y-intercept of the line of best fit would show a happiness score of around 40 when there is $0 income.
The y-intercept of the line of best fit would show a happiness score of around 40 when there is $0 income. - correct
The line of best fit would have a positive slope representing as income goes up, happiness goes up.
The line of best fit would have a positive slope representing as income goes up, happiness goes up. - correct
The slope of the line of best fit could be around m = -1/2000.
The slope of the line of best fit could be around m = -1/2000.
This is a moderate positive correlation.
This is a moderate positive correlation. - correct
The line of best fit should include the lowest and highest scores.
The line of best fit should include the lowest and highest scores. -
As a person's income goes up, their happiness trends down.
As a person's income goes up, their happiness trends down.
There is no correlation between happiness and income.
Which choices BEST describes the relationship between the variables shown in the graph?
Responses
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. - no response given
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. -
There is no relationship between college completion and income.
There is no relationship between college completion and income. -
Going to college CAUSES a person to earn more income.
Going to college CAUSES a person to earn more income. -
People who made more money generally completed more years of college than those who made less money.-correct