Question

There is common wisdom that states, “Correlation is not causation.” Explain in your own words what this phrase means. Now, read the current draft of your cause and effect essay. Consider how you might revise your essay in light of this saying. Describe what revisions you might need to make to your essay to ensure that your argument is logical, plausible, and realistic and does not present an argument that is illogical, far-reaching, or unrealistic. ENG-106

Answer 1

• Correlation is a measure of how closely related two things are. Think of it as a number describing the relative change in one thing when there is a change in the other, with 1 being a strong positive relationship between two sets of numbers, –1 being a strong negative relationship and 0 being no relationship whatsoever.
• "Correlation is not Causation". The meaning of this phase to me simply means that just because two trends are fluctuation together doesn't mean that they are related to each other or cause one another. There can be many things that you can pick out together that seem to be cause one another.
• As a seasonal example, just because people in the UK tend to spend more in the shops when it's cold and less when it's hot doesn't mean cold weather causes frenzied high-street spending. A more plausible explanation would be that cold weather tends to coincide with Christmas and the new year sales.
• Correlation - When researchers find a correlation, which can also be called an association, what they are saying is that they found a relationship between two, or more, variables. For instance, in the case of the marijuana post, the researchers found an association between using marijuana as a teen, and having more troublesome relationships in mid, to late, twenties.
• Causation - When an article says that causation was found, this means that the researchers found that changes in one variable they measured directly caused changes in the other. An example would be research showing that jumping of a cliff directly causes great physical damage. In order to do this, researchers would need to assign people to jump off a cliff (versus lets say jumping off of a 12 inch ledge) and measure the amount of physical damage caused. When they find that jumping off the cliff causes more damage, they can assert causality.
• Due to time limit,remaining questions can be asked as another question,they will be answered,thankyou for your cooperation