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Patterns in Linear Scatter Plots Solutions

    • A    scatter plot    is a graph that visually represents a set of data that pairs    independent    and    dependent     variables to form a correlation.
    • The trend, or    correlation   , is a relationship between two variables or two data sets.

There are three types of correlation.
 

    •    positive    correlation
    •    negative    correlation
    •    no    correlation.

    • Positive correlation: As x    increases   , y    increases   .
    • Strong positive correlation:


      • The ordered pairs are close to each other.
    • 
Weak positive correlation:


      • The ordered pairs are more spread apart.

    • Negative correlation: As x    increases   , y    decreases    .
    • Strong negative correlation:


      • The ordered pairs are close together.

    • Weak negative correlation:


      • The ordered pairs are more spread apart.

    • No correlation: There is    no relationship    between the variables.
    • To describe the correlation, determine    how    the independent variable    affects    the dependent variable (if at all).
    • Complete the sentence: As the independent variable increases, the dependent variable [increases/decreases/no effect].
Note

Recall that the independent variable is represented by the x-axis and the dependent variable is represented by the y-axis.

Example 1

Determine the correlation. Describe the correlation meaning in context.

Weak negative correlation.
 (outside temperature, coats worn) As the outside temperature increases, the number of coats worn decreases.

Strong positive correlation. (rainfall, grass height) As the amount of rain during the summer increases, the height of the pasture grass increases.

Example 2

Determine the correlation as positive, negative, or no correlation. Describe the correlation meaning in context.

  1. Length of hair and number of books read.

There is no correlation. The length of a person’s hair does not affect the number of books they read.

  1. Height and shoe size.

Positive correlation. As a person’s height increases, generally their shoe size increases. (height, shoe size)

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