The Concept of Correlation Versus Causation
For the Unit 5 discussion, you will expand your working knowledge of Excel and explore the concept of correlation versus causation. You will use Excel to complete this discussion post.
You may choose one of the following data sets from your text, the data set you found in the Unit 2 or 4 discussion, or you may create your own data set when you create a scatter plot to analyze. Remember, your data set needs to include two quantitative variables. If you create your own, be sure to use a minimum of 10 data pairs. Be certain that when you create your own data that you share in detail what you chose as your variables, your quantitative data, and where you found the data.
PLEASE NOTE: If you choose a data set listed below, you are not following the directions in the textbook for any of these sections, you are just using the data sets. Use the instructions in this discussion board to create and analyze your scatter plot.
Section 2.4 - exercise questions 5–14
Review exercises (at end of Chapter 2) - questions 27–28
Section 10.1 - exercise questions 11–27
Scatter Plot
Student’s Name
Institutional Affiliation
Scatter Plot
I used the data from Unit 4, session 10.1 - exercise 13. The data set contains the yearly data obtained from commercial movie studios showing the number of movie releases and the gross receipts for each studio. The data set contains nine observations.
A scatter plot is a graphical representation of the relationship between two quantitative variables measured for the same subjects (Moore et al., 2013). The values of one variable are displayed on the vertical axis, while the values of the other variable are displayed on the horizontal axis in a scatter plot. Each individual pair appears as a point on the graph. Moore et al. (2013) assert that a scatter plot is not meant to be used in detail; instead, it provides a general illustration of the relationship or correlation between the two variables. The variables can be positively correlated, negatively correlated, or not correlated. A positive correlati...
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