Unit 5 Discussion MM207 Statistics
Discussion Overview
Review the discussion requirements.
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
Post 1: Initial Response
After creating your scatterplot, respond to these questions:
- First, state the variables and list all the data elements you used to create your scatter plot. Your classmates will need this information to complete post 2.
- Next, calculate the correlation coefficient (r-value). State that value in your response.
- Based on the visual display of the scatterplot, describe the trend you notice. You should include such comments as to whether it appears linear, the direction the trend is going, and the strength of the trend.
- Finally, explain why you think the correlation coefficient (r-value) supports your description of the data trend.
Post 2: Reply to a Classmate
Choose one of your classmate’s posts and redo the scatterplot, but reverse the independent and dependent variables. Compute the new correlation coefficient, r-value. Is the scatterplot the same as the original? Is the r-value the same? Is the direction (positive or negative) still the same?
Post 3: Reply to Another Classmate:
Choose another classmate’s post. What kind of prediction(s) can be made from the relationship between the variables? Explain your thinking.
If the variables are highly correlated, there exists the possibility that the correlation is due to a third variable, known as a lurking variable. What do you think could be a possible lurking variable for your classmate’s data set?
Return to Unit 5 Discussion Instructions.
Unit 5 Discussion MM207 Statistics Answer
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