Scatter Plots, Linear and Associations

Which best describes the association shown in the scatter plot?

• Positive Association

• Negative Association

• No Association

Which best describes the association shown in the scatter plot?

• Positive Association

• Negative Association

• No Association

Which best describes the association shown in the scatter plot?

• Positive Association

• Negative Association

• No Association

Which best describes the association shown in the scatter plot?

• Negative and linear

• Negative and non-linear

• Positive and linear

• Positive and non-linear

• Positive Association
• Negative Association
• No Association
• Non-Linear Association

If the points of data are close together, the association is ​ (a)   and if the points of data are widely spread the association is ​ (b)  

• strong

• weak

• linear

• nonlinear

• positive association

• negative association

• no association

Hector surveyed 500 people and asked them how far they drive to work and what the last digit of their phone number is. He used the results to make a scatter plot. What type of association should he expect to see in the scatter plot?

• Positive Association

• Negative Association

• No Association

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 he expect to see in the scatter plot?

• Positive Association

• Negative Association

• No Association

Which would NOT likely be the variables represented on the scatter plot?

• The number of miles driven and the gallons of gas used.

• The number of students in a school and the number of unused lockers.

• The number of items ordered at a restaurant and the cost of the bill.

• The number of customers in a store and the length of the wait at the register.

Which scatter plot has a stronger association?

• Scatter Plot A because the points are closer together.

• Scatter Plot B because the points are further apart.