Question

In: Statistics and Probability

Correlation doesn’t imply causation. Discuss this and illustrate this point with an example from a psychology...

  • Correlation doesn’t imply causation. Discuss this and illustrate this point with an example from a psychology majors perspective.

Solutions

Expert Solution

Correlation is a statistical technique which tells us how strongly the pair of variables are linearly related and change together. It does not tell us why and how behind the relationship but it just says the relationship exists( Mathematically).

Ice cream sales is correlated with homicides in New York (Study)

As the sales of ice cream rise and fall, so do the number of homicides. Does the consumption of ice cream causing the death of the people?

No. Two things are correlated doesn’t mean one causes other.

Correlation does not mean causality or in our example, ice cream is not causing the death of people.

When 2 unrelated things tied together, so these can be either bound by causality or correlation.

In Majority of the cases correlation, are just because of the coincidences. Just because it seems like one factor is influencing the other, it doesn’t mean that it’s actually does.

Correlation is something which we think, when we can’t see under the covers. So the less the information we have the more we are forced to observe correlations. Similarly the more information we have the more transparent things will become and the more we will be able to see the actual casual relationships.


Related Solutions

Does correlation imply causation? Discuss in your own words.
Does correlation imply causation? Discuss in your own words.
true or false, correlation doesn't imply causation
true or false, correlation doesn't imply causation
11. If “correlation does not imply causation,” what does it imply? 12. What are some of...
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?
Discuss why correlation is necessary but not sufficient to establish causation and give an example
Discuss why correlation is necessary but not sufficient to establish causation and give an example
Discuss why correlation is necessary but not sufficient to establish causation. Give an original example.
Discuss why correlation is necessary but not sufficient to establish causation. Give an original example.
Anyone who has studied statistics or research has heard the saying "Correlation does not imply causation."...
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?
What is the difference between correlation and causation? Offer an example of each as it relates...
What is the difference between correlation and causation? Offer an example of each as it relates to healthcare operations management. Then explain how these concepts are important in identifying and prioritizing operational improvement opportunities.
1. Give an example of correlation and causation in which the explanatory variable directly causes a...
1. Give an example of correlation and causation in which the explanatory variable directly causes a change in the response variable. 2. Next, give an example of correlation and non-causation in which the two variables are correlated but no direct cause-and-effect relationship exists between the two variables.
Differentiate between correlation and causality. Give an example to illustrate the difference.
Differentiate between correlation and causality. Give an example to illustrate the difference.
Incarceration rates vary from state to state. We must remember that correlation is not causation, but...
Incarceration rates vary from state to state. We must remember that correlation is not causation, but we can ask: “What state level factors might be associated with the state incarceration rate?” Before you look at the data below, state appropriate null and research hypotheses concerning the relationship between Incarceration Rate and Median State Income. Using the data below, calculate: The prediction equation (least squares line) The Coefficient of Determination Pearson's r Predicted Incarceration Rate for Nebraska based on regression analysis...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT