Step 1: Understanding correlation plots.
A correlation plot is a graphical method to show the relationship between two variables. If we want to see how variable \(X\) affects variable \(Y\), we need a plot that places both variables on axes.
Step 2: Evaluating options.
- Option 1: Bar graph – Used to compare categorical data, not correlation between variables.
- Option 2: Pie chart – Used to show proportion or percentage, not relationships.
- Option 3: Box plot – Used for distribution, spread, and outliers, not direct correlation.
- Option 4: Scatter plot – Places one variable on x-axis and the other on y-axis, showing correlation directly. Hence correct.
Step 3: Conclusion.
Scatter plots are correlation plots because they visually represent how two continuous variables are related (positive, negative, or no correlation).
Final Answer:
\[
\boxed{\text{Scatter plot}}
\]