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To describe relationships among numeric variables, we use:

-crosstabs
-All these statements are true.
-scatter plot
-box plots

User PythEch
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Final answer:

To describe relationships among numeric variables, we use crosstabs, scatter plots, and box plots.

Step-by-step explanation:

A line graph shows the relationship between two variables: one is shown on the horizontal axis and one on the vertical axis. It is called a line graph because it uses lines to connect the data points, illustrating the change in one variable as the other variable changes. This type of graph is useful for showing trends, patterns, and comparisons between the variables.

Crosstabs, also known as contingency tables, are used to describe the relationship between two categorical variables. They display the frequency distribution of each combination of categories for the two variables.

Scatter plots are used to show the relationship between two continuous variables. They display individual data points as dots on a graph, with one variable plotted on the horizontal axis and the other variable plotted on the vertical axis. Scatter plots are useful for identifying trends and patterns in the data.

Box plots, also known as box-and-whisker plots, display the distribution of a single numerical variable. They show the median, quartiles, and any outliers in the data. Box plots are useful for comparing distributions and identifying potential outliers.

User StefanFFM
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