Scatter Plot Correlations

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What is a scatter plot?

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A scatter plot is a graph that shows the relationship between two quantitative variables by displaying data points on a two-dimensional axis.

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What does a positive correlation indicate in a scatter plot?

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A positive correlation indicates that as one variable increases, the other variable also tends to increase.

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What does a negative correlation indicate in a scatter plot?

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A negative correlation indicates that as one variable increases, the other variable tends to decrease.

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What does no correlation mean in a scatter plot?

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No correlation means that there is no discernible relationship between the two variables; changes in one variable do not predict changes in the other.

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How can you identify a positive correlation in a scatter plot?

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A positive correlation can be identified by a pattern where data points slope upwards from left to right.

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How can you identify a negative correlation in a scatter plot?

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A negative correlation can be identified by a pattern where data points slope downwards from left to right.

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What is the purpose of using scatter plots in data analysis?

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Scatter plots are used to visually assess the relationship between two variables, helping to identify trends, correlations, and outliers.

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What is an example of a positive correlation?

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An example of a positive correlation is the relationship between the number of hours studied and test scores; generally, more study time leads to higher scores.

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What is an example of a negative correlation?

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An example of a negative correlation is the relationship between the length of time a candle burns and the height of wax remaining; as burn time increases, wax height decreases.

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What is an example of no correlation?

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An example of no correlation is the relationship between shoe size and intelligence; there is no predictable relationship between these two variables.