Describe the difference between correlation and causation, including a discussion of the coefficient of correlation and the coefficient of determination (ch.13).
describe the difference between coefficient of multiple determination and adjusted coefficient of multiple determination and provide an example where adjusted R2 is necessary?
describe the difference between coefficient of multiple determination and adjusted coefficient of multiple determination and provide an example (simple example) where adjusted R2 is necessary?
discuss the three necessary conditions for causation. What is a correlation? What is the difference between a positive and negative correlation? Give an example of each. What is a correlation coefficient and what would be a perfect one numerically?
Discuss the difference between correlation and causation and the difference between statistical and practical significance. Please give examples of each to help define each concept.
Explain in your own words the difference between correlation and causation. Find an example of two things that are highly correlated (linearly) but do not have a causal relationship. Explain how this is possible and identify at least one reason that this relationship exists.
Correlation: Correlation Does Not Mean Causation One of the major misconceptions about correlation is that a relationship between two variables means causation; that is, one variable causes changes in the other variable. There is a particular tendency to make this causal error, when the two variables seem to be related to each other. What is one instance where you have seen correlation misinterpreted as causation? Please describe.
Explain the difference between Simple moving average and Weighted moving average. Explain the difference between Coefficient of correlation and Coefficient of determination.
Use the value of the linear correlation coefficient r to find the coefficient of determination and the percentage of the total variation that can be explained by the linear relationship between the two variables. r 0.301 What is the value of the coefficient of determination? -(Round to four decimal places as needed.)
Use the value of the linear correlation coefficient to find the coefficient of determination and the percentage of the total variation that can be explained by the near relationship between the two variables r=0.316 What is the value of the coefficient of determination? 7- (Round to four decimal places as needed.) What is the percentage of the total variation that can be explained by the linear relationship between the two variables? Explained variation - (Round to two decimal places as...
Use the value of the linear correlation coefficient r to find the coefficient of determination and the percentage of the total variation that can be explained by the linear relationship between the two variables. r=0.694 What is the value of the coefficient of determination? r2=______ (Round to four decimal places as needed.) What is the percentage of the total variation that can be explained by the linear relationship between the two variables? Explained variation=______% (Round to two decimal places as...