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Patterns in Linear Scatter Plots Solutions
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- 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.
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- positive correlation
- negative correlation
- no correlation.
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Positive correlation: As x increases , y increases .
- Strong positive correlation:

- The ordered pairs are close to each other.
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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).
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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.
As the outside temperature increases, the number of coats worn decreases.
Strong positive correlation. 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.
- 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.
Positive correlation. As a person’s height increases, generally their shoe size increases.