What kind of graph is best suited for displaying continuous data?

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A line graph is the most suitable choice for displaying continuous data because it effectively illustrates trends or changes over a given range, such as time or other continuous variables. In a line graph, individual data points are plotted on a two-dimensional axis, enabling viewers to easily observe progression, regression, and any patterns that occur within the data set.

This format allows for a clear visualization of relationships within the data, making it particularly useful in fields such as biology, where researchers may need to track how different variables change continuously. By connecting the dots representing data points, a line graph clearly shows how one variable is related to another over time or across different measurements.

In contrast, other types of graphs such as bar graphs and pie charts are typically used for categorical data, which do not convey the nuances of continuous data trends as effectively as a line graph does. A histogram can represent continuous data too, but it is mainly used to display the frequency distribution of the data rather than focusing on how the data trends over time or another continuous variable.

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