You have a dataset of students' information including their grades in math and chemistry, both in the range of 0-100. Which node should you use to examine the relationship between the two grades?

When you want to examine the relationship between two variables, such as the grades in math and chemistry, the most effective approach is to use a plot. Plots are versatile tools that allow you to visualize how one variable may change in relation to another. In this case, by plotting the math grades against the chemistry grades, you can observe patterns, trends, or correlations between the two subjects. This visual representation makes it easier to identify any potential relationships, such as whether higher math grades tend to be associated with higher chemistry grades.

Other options, while useful for different purposes, do not serve the same function for analyzing the relationship between two continuous variables. A histogram is ideal for displaying the distribution of a single variable but doesn’t allow for comparison between the two subjects. A distribution node provides insights into how each variable is distributed separately, focusing on their individual performance rather than their interconnection. A time plot is used to track changes over time and is not applicable in this scenario where you are interested in the relationship between two static grades at a single point in time. Thus, the plot node is the best choice for this analysis.