Types of Association

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What is a positive association in a graph?

Back

A positive association occurs when an increase in one variable corresponds to an increase in another variable, resulting in a rising trend in the graph.

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What does a scatterplot show?

Back

A scatterplot displays the relationship between two quantitative variables, allowing for the visualization of trends, patterns, and associations in the data.

Front

What is a negative association in a graph?

Back

A negative association occurs when an increase in one variable corresponds to a decrease in another variable, resulting in a falling trend in the graph.

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What does no association mean in a graph?

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No association means that there is no discernible relationship between the two variables, and changes in one variable do not affect the other.

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What is the purpose of using scatterplots in data analysis?

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Scatterplots are used to identify relationships, trends, and correlations between two variables, helping to visualize how one variable may influence another.

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How can you identify a positive association in a scatterplot?

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A positive association is identified in a scatterplot by a pattern where points trend upwards from left to right.

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How can you identify a negative association in a scatterplot?

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A negative association is identified in a scatterplot by a pattern where points trend downwards from left to right.

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What does it mean if a scatterplot shows no clear pattern?

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If a scatterplot shows no clear pattern, it indicates that there is no association between the variables, and the data points are scattered randomly.

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What is the significance of correlation in understanding associations?

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Correlation quantifies the strength and direction of a relationship between two variables, helping to determine whether they are positively, negatively, or not associated.

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What is an example of a positive association in real life?

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An example of a positive association is the relationship between hours studied and exam scores, where more study time typically leads to higher scores.