Graph Analysis and Lurking Variables

Welcome to this week’s discussion! Your task is to find a graph online that shows two variables correlated. This exercise will help you practice critical thinking and data analysis skills by identifying potential lurking variables that might influence the observed relationship.

Steps to Complete the Discussion:

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1. Find a Graph: Search online for a graph that displays a relationship between two variables. This could be from a news article, research paper, or any reputable source. Ensure the graph is clear and the data is well-presented.

2. Analyze the Graph: Examine the graph carefully. Identify the two main variables. State which variable is independent and which variable is dependent. For example, a graph might show the relationship between hours of study and exam scores. Where the hours of study would be the independent variable and the exam scores would be the dependent variable.

3. Identify Lurking Variables: Think critically about other factors that might influence the relationship between the two variables. Lurking variables are hidden factors that can affect the outcome. For instance, in the study hours vs. exam scores example, lurking variables could include the difficulty of the exam, the student’s prior knowledge, or even their health on the exam day.

4. Writ Your Analysis: W a detailed analysis that includes:

· A brief descri of the graph and the source where you found it.

· An explanation of the correlation presented.

· A discussion of at least two potential lurking variables that could influence the relationship.

· Your thoughts on how these lurking variables might affect the interpretation of the data.

1. Post Your Analysis: Share your analysis in the discussion forum. Be sure to include a picture of the graph and a link to the website where you found your data.

1. What two variables are shown in the graph?,

2. Which is the independent and which is the dependent variable?,

3. What is the correlation between these two variables?,

4. What are at least two lurking variables?,

5. How might these lurking variables affect interpretation?

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