Scatter plot
Scatter plots are specifically designed to show the relationship between two variables. They are a type of mathematical diagram using Cartesian coordinates to display values for typically two variables for a set of data. Below are some key points explaining why a scatter plot would be the ideal chart type to show the relationship between two variables:

Relationship between variables:
- Scatter plots are used to show how much one variable is affected by another. Each pair of data points is plotted as a point on the graph with one variable on the x-axis and the other on the y-axis.
- The position of the points on the graph can reveal any patterns or correlations between the two variables.

Visual representation:
- By using dots to represent data points on a scatter plot, it is easier to observe trends or patterns in the relationship between the variables.
- The distribution of the points can indicate if there is a positive, negative, or no correlation between the variables.

Identifying outliers:
- Scatter plots are also useful in identifying outliers, as points that do not follow the general trend of the data can stand out visually.
- Outliers can provide valuable insights into the data and may warrant further investigation.

Conclusion:
In conclusion, when you want to visualize the relationship between two variables, a scatter plot is the most suitable chart type. Its ability to show patterns, correlations, and outliers makes it a powerful tool for analyzing data and drawing insights from it.