Line frequency graphs are suitable for presenting discrete variables.

Explanation:

A line frequency graph is a graphical representation of the frequency distribution of a set of data. It is commonly used to analyze and display discrete variables, which are variables that can only take on specific values. Discrete variables are typically represented by whole numbers or categories.

Characteristics of a line frequency graph:

1. X-axis: The x-axis represents the values or categories of the discrete variable. Each value or category is plotted along the x-axis.

2. Y-axis: The y-axis represents the frequency or count of each value or category. The height of the line or bar on the graph represents the frequency or count.

3. Lines or bars: In a line frequency graph, lines are used to connect the plotted points, forming a continuous line. The height of the line at each point represents the frequency or count of that value or category. In a bar frequency graph, bars are used to represent each value or category, and the height of the bar represents the frequency or count.

Why line frequency graphs are suitable for presenting discrete variables:

1. Visual representation: Line frequency graphs provide a visual representation of the frequency distribution of discrete variables. They allow for easy interpretation and comparison of frequencies among different values or categories.

2. Connection between values: By using lines to connect the plotted points, line frequency graphs show the relationship and progression between different values or categories. This can be particularly useful when analyzing data over time or across different groups.

3. Smooth representation: The continuous line in a line frequency graph provides a smooth representation of the frequency distribution. This can be helpful in identifying patterns or trends in the data.

4. Easy comparison: Line frequency graphs allow for easy comparison of frequencies between different values or categories. The height of the line at each point provides a clear visual indication of the relative frequency or count.

Overall, line frequency graphs are a suitable and effective way to present discrete variables, providing a clear and visually appealing representation of the frequency distribution.