Over the past decade, there has been a strong positive correlation between teacher salaries and prescription drug costs. A. Do you think paying teachers more causes prescription drugs to cost more? Explain. B. What lurking variable might be causing the increase in one or both of the variables? Explain.
Over the past decade, there has been a strong positive correlation between teacher salaries and prescription drug costs. A. Do you think paying teachers more causes prescription drugs to cost more? Explain. B. What lurking variable might be causing the increase in one or both of the variables? Explain.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Transcribed Image Text:### Correlation Between Teacher Salaries and Prescription Drug Costs
**Overview:**
Over the past decade, there has been a strong positive correlation observed between teacher salaries and the costs of prescription drugs.
**Discussion Questions:**
**A. Do you think paying teachers more causes prescription drugs to cost more? Explain.**
- This question prompts students to think critically about the nature of correlation versus causation. Students should consider whether an increase in teacher salaries could directly influence the costs of prescription drugs or if the correlation may be due to other factors.
**B. What lurking variable might be causing the increase in one or both of the variables? Explain.**
- This question encourages students to identify potential lurking variables, which are variables that are not included in the study but may influence both variables. Students should contemplate economic or social factors that could contribute to the observed correlation between teacher salaries and prescription drug costs.
### Additional Notes:
- There are no graphical representations or diagrams included in the provided text.
- Students should be encouraged to look for external data sources or case studies to support their explanations for a more comprehensive understanding.
This exercise is designed to help students understand the distinction between correlation and causation, as well as the importance of considering lurking variables in statistical analyses.
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