Answer :
Final answer:
To display two quantities, a scatter plot is used, with one represented on each axis, making it easy to identify patterns and potential linear regression suitability. For three interrelated quantities, a triangular or ternary plot is appropriate.
Explanation:
The team should use a scatter plot if they want to display two quantities, each along an independent axis, or a triangular plot (also known as a ternary plot) if they wish to display three quantities. For two quantities, the scatter plot would have horizontal and vertical axes representing the independent and dependent variables. When interpreting a scatter plot, one can assess whether there is a clear pattern and if the variables are good candidates for linear regression. If displaying three related quantities where each pair sums up to 100 percent, a ternary plot is used to present the data effectively. This type of graphically representing material properties can make observing trends and relationships clearer.