Association Positive, Negative

Scatter plot are graphs that use points to display​ (a)   data.

• numerical

• bivariate

• association

• categorical

Scatter plots can help determine if one variable has an effect on the other, or if there are overall trends, patterns, or ​ (a)   between the variables.

• associations

• bivariate

• numerical

Jules conducted a survey and asked 100 people how many years of education they have and what their annual income is. She used the results to make a scatter plot. What type of association should she expect to see in the scatter plot?

• Positive Association

• Negative Association

• No Association

What does it mean when two variables have a positive association?

• When the variables move in opposites directions, one increases and the other decreases.

• When the first variables has no effect on the second variable

• When the variables move in the same direction. They both increase.

Label they type of association:

• Positive

• Negative

• None

Label they type of association:

• Positive

• Negative

• None

Which scatter plot(s) could be used to show the relationship between a person's age and a person's height?

• 3

• 4

• 5

• 6

Which scatter plot(s) could be used to show the relationship between a person's age and the number of syllables in a person's first and last name?

• 3

• 4

• 5

• 6

Which best describes the association shown in the scatter plot?

• Negative and linear

• Negative and nonlinear

• Positive and linear

• Positive and nonlinear

Tags

CCSS.8.F.A.3

Ms. Glenn's class did a survey about the number of chores students did and the amount of allowance that student earned. Bryan thinks the association is negative because they found that as the number of chores decreased, the amount of allowance also decreased. Is Bryan correct?

• Bryan is correct. The variables decreased so the association is negative.

• Bryan is incorrect. The variables have no effect on each other.

• Bryan is correct. The variables move in opposite directions.

• Bryan is incorrect. if the variables move together, then the association is positive.