Analyzing Scatter Plot Associations

The video tutorial explains how to interpret scatter plots by examining the relationship between X and Y variables. It covers three types of associations: positive, where Y increases as X increases; negative, where Y decreases as X increases; and no association, where Y shows no clear trend as X increases.

What is the main focus when analyzing a scatter plot?

• The color of the points

• The relationship between X and Y variables

• The number of points

• The size of the plot

In a positive association, what happens to the Y variable as the X variable increases?

• Y disappears

• Y decreases

• Y remains constant

• Y increases

Which term describes the relationship where Y decreases as X increases?

• Positive association

• Neutral association

• Negative association

• No association

What can be concluded if a scatter plot shows a downward trend?

• Positive association

• Random association

• No association

• Negative association

What is observed in a scatter plot with no association?

• Y increases as X increases

• Y decreases as X increases

• Y shows no clear trend as X increases

• Y forms a perfect line

How can you describe a scatter plot where points are randomly distributed?

• Positive association

• Negative association

• No association

• Perfect association

What is the term for when X increases and Y shows no consistent pattern?

• Positive association

• Negative association

• Inverse association

• No association

Which of the following is NOT a type of association in scatter plots?

• Positive association

• Negative association

• No association

• Circular association