During this unit, you will learn about many different types of graphs, which graphs are most appropriate for specific data types, and how to create graphs in Excel. Remember that when building a graph in Excel to fully label the graph and to think about what information the graph should show the viewer.
A second important objective in this Discussion is to work together as a group or team to share, compare, and improve.
In Unit 5, there are three main topics (problem types): describing correlations, measuring correlations (with the r value), and creating and evaluating scatterplots. You will be exposed to all three topics, and will have the opportunity to discuss and compare these topics with your fellow learners.
Using any Excel dataset, choose two quantitative variables from the dataset. For example, you might choose “age” and “weight.” Next, do the following:
What is the name of the dataset you have chosen? What are the names of the two quantitative variables you are investigating?
Using Excel, calculate the relationship (correlation) between these two variables. Write down your calculated r value.
Given the r value you calculated in number 1 above, explain what the r value tells you about the relationship between the two variables. For example, is the relationship positive or negative? Is the relationship strong, medium, or weak?
Using the two variables you have chosen, create and attach to your post a scatterplot. Does the scatterplot have a linear appearance? What does the scatterplot tell you about the relationship between your two variables?