1. Does correlation imply causation?
2. Why are correlations important to statistics?
Ans:
1)No,correlation does not imply causation.
As,correlation is measured based on observational data,but for establishing causation,we need to conduct experiment,we need to modify treatments to monitor the change in the response variable.
2)
As correlation can measure the linear association between two variables,whether they are positively or negatively associated.We can also test whether the relationship between two variable is significant or not.
1. Does correlation imply causation? 2. Why are correlations important to statistics?
does correlation imply causation
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Correlation does not imply nts O O A. linearity O B. significance O c. causation O D. bias O
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Explain why, compared to an experiment, "correlation does not equal causation". Provide an example in your explanation.
Why is it a fallacy to confuse causation and correlation? Provide an example of a statement that confuses causation with correlation. 2 paragraph
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- Why is it fallacy to confuse causation and correlation? -Provide an example of a statement that confuses causation with correlation?
Why is it a fallacy to confuse causation and correlation? Provide an example of a statement that confuses causation with correlation.
Why is it a fallacy to confuse causation and correlation? Provide an example of a statement that confuses causation with correlation. In addition to your main response, you must also post substantive responses to at least two of your classmates’ posts in this thread.