Correlation does not imply causality" is a common warning to
those who practice regression analysis. Explain...
Correlation does not imply causality" is a common warning to
those who practice regression analysis. Explain what this statement
means and give an example of a situation in which one might
mistakenly equate correlation with causality
Correlation and Causality: What is meant by the statement that
correlation does not imply causality? Part 2: Cause of Global
Warming: If we find that there is a linear correlation between the
concentration of carbon dioxide (CO2) in our atmosphere and the
global temperature, does that indicate the changes in the
concentration of carbon dioxide cause changes in the global
temperature? Why or why not? Part 3: Application of concepts:
Discuss and give at least one example of how you...
“Correlation does not imply causality” is an important concept
when referring to regression. Briefly describe this concept.
Provide one example of how it may occur. Not exceed 100 words.
Intro Discussion and Questions- Regression and Correlation:
How does correlation analysis differ from regression analysis?
What are the goals of each?
What does the correlation coefficient r measure? Be specific.
What values can it take on? What do
the values indicate?
What values can the coefficient of determination take on? What
does it measure?
What are some of the limitations of simple linear
regression?
Describe the equation for multiple linear regression; be sure to
clearly define all of its parts....
What impact does regression have on correlation analysis?
Explain the two ways correlation can be displayed mathematically.
Does one way have an advantage over the other? Please explain your
thinking.
11. If “correlation does not imply causation,” what does it
imply?
12. What are some of the possible reasons for large correlations
between a pair of variables, X and Y?
17.What assumptions are required for a correlation to be a valid
description of the relation between X and Y?
Chapter 7
Correlation
7.1. Does correlation show causality? Why or why
not?
7.2. For a Pearson Correlation, show what a perfect
relationship looks like on a graph.
7.3. When do you use Pearson’s correlation and when do
you use Spearman’s correlation? Kendall’s tau
correlation?
7.4. Describe the difference between a biserial
correlation and a point-biserial correlation.
Anyone who has studied statistics or research has heard the
saying "Correlation does not imply causation." What factors must an
analyst consider to decide whether the correlation is meaningful
enough to investigate further?
Explain the difference between correlation analysis and
regression analysis. Give an example of a lurking variable. If a
statistician computed a value of r = -2.83 what would you tell that
statistician? Under what circumstances can we calculate r? Can the
regression equation be assumed to hold 100 years from now? Are
there other correlation coefficients other than the Pearson Product
Moment Correlation Coefficient