I need a response to a coworker\'s discussion This is the discussion insturction

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I need a response to a coworker's discussion

This is the discussion insturctions below

"Choose one of the following three questions and post your answer:

Please respond to my discussion question by clicking on the Reply button after this section. When you reply to another student’s comments, click on Reply after their comments.

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Hello! I will take number 2. There can be a correlation between two items, for instance an increase in someone’s salary and purchasing clothing, but we cannot conclude that increases in someone’s salary causes an increase in purchasing clothing.

This is the discussion post I need a response to

Hello everyone,

You can find a relationship between variables using either correlation or with the main effects and interaction effects using a different analysis, such as ANOVA. The choice of analysis usually depends on the type of data you have. Neither analysis is inherently superior at determining whether a relationship is a correlation or causation. For instance, a scatterplot of popsicle sales and skateboard accidents in a neighborhood may look like a straight line and give you a correlation coefficient of 0.9999...but buying popsicles clearly doesn't cause skateboard accidents. However, more people ride skateboards and more people buy popsicles in hot weather, which is the reason these two factors are correlated.

Explanation / Answer

1)Answer:

correlation does not imply causality:

The relationship between two events that are occurring at the same time is ambiguous. The fact that they are happening together (i.e. correlation) does not mean that one caused the other (i.e causality).

For example, say we're doing a study on obesity. We take a look at years past and see that obesity in America became much more widespread in the 70s. (I'm just making this up)

We also observe that bell-bottom trousers became widespread in the 70s.

We then conclude that bell-bottom trousers cause obesity.

This is a logical fallacy, because while these two events did occur alongside each other, they are most likely completely unrelated. Obesity may have something to do with other things that happened in the 70s.

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