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Scatter diagrams can demonstrate several types of correlations.

When the scatter plots are grouped together in the shape of a line it may be due to either a "low" or "high" correlation. The tighter the grouping,
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When the scatter plots form a group resembling a straight line sloping upward from left to right,
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When the opposite happens if the group of dots creating the line slopes down from left to right it is called a negative correlation. An increase in the value of the "cause" decreases the value of the "effect." An example is the relationship between age (cause) to strength (effect) in adults over 50.

Other types of interpretations from scatter plots include curved correlations and part linear correlations,
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Types of Linear Correlation

In statistics, linear correlation refers to a measure of association between two interval ratio variables. Interval ratio variables are those that can be put.

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Family planning typically refers to restricting population growth,
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How to Interpret a Scatter Plot

A scatter plot is an important diagnostic tool in a statistician arsenal,
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