Exam 3: Finding Relationships Among Variables

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Displaying all correlations between 0.6 and 0.999 on a scatterplot as green and all correlations between -1.0 and -0.6 as red is known as _____ formatting.

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The tool that provides useful information about a data set by breaking it down into categories is a

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Counts for a categorical variable are often expressed as percentages of the total.

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Correlation and covariance can be used to examine relationships between numeric variables as well as for categorical variables that have been coded numerically.

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A line or curve superimposed on a scatterplot to quantify an apparent relationship is known as a(n)

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To examine relationships between two categorical variables,we can use

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An example of a joint category of two variables is the count of all non-drinkers who are also nonsmokers.

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Correlation is a single-number summary of a scatterplot.

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The correlation between two variables is unitless and always between -1 and +1.

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Approximate the percentage of these Internet users who are single with no formal education beyond high school.

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Relationships between two variables are less evident when counts are expressed as percentages of row totals or column totals.

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The most common data format is

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If the coefficient of correlation r = 0 .80,the standard deviations of X and Y are 20 and 25,respectively,then Cov(X,Y)must be 400.

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What does a scatterplot illustrate?

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Approximate the percentage of these Internet users who are married with formal education beyond high school.

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Comparing a numerical variable across two or more subpopulations is known as a comparison problem.

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To form a scatterplot of X versus Y,X and Y must be paired variables.

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Tables used to display counts of a categorical variable are called

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Approximate the percentage of these Internet users who are married.

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Strongly related variables may have a correlation close to zero if the relationship is nonlinear.

(True/False)
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