Statistics and independent variables

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SUMMARY

The discussion centers on the relationship between independent variable A and dependent variables B, C, and D in statistical analysis. It concludes that A can only be said to cause an effect when B, C, and D are at specific values (B2, C2, D2). The conversation emphasizes the importance of context in establishing causation, suggesting that without these specific conditions, A does not have a causal relationship with the outcome. Additionally, the term "correlates" is highlighted as a more appropriate descriptor when discussing relationships that do not imply causation.

PREREQUISITES
  • Understanding of independent and dependent variables in statistics
  • Familiarity with causal relationships versus correlation
  • Basic knowledge of statistical testing methods
  • Experience with real-world data analysis examples
NEXT STEPS
  • Research the concept of "causal inference" in statistics
  • Learn about "regression analysis" and its applications
  • Explore the differences between correlation and causation in depth
  • Study real-world examples of statistical dependencies and their implications
USEFUL FOR

Students studying statistics, data analysts, researchers, and anyone interested in understanding the nuances of causal relationships in statistical models.

Cinitiator
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Homework Statement


Let's say the independent variable (in statistical terms) A depends on variables B, C and D. We perform tests, and find out that the variable A causes "something" with the values of B, C and D equal to B2, C2 and D2.

Let's also say that A with variables B, C and D of B1, C1 and D1 won't cause "anything" (as in, won't cause "something").

How does one deal with such problems in statistics? Whenever some variable depends on other variables to a great extent (even if these variables aren't external), is it usually said that it has been concluded that variable A causes something ONLY with variables B, C and D equal to B2, C2 and D2?

Or is it said that variable A causes something, regardless of the variables that it depends on?


Homework Equations


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The Attempt at a Solution


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Cinitiator said:
Let's say the independent variable (in statistical terms) A depends on variables B, C and D. We perform tests, and find out that the variable A causes "something" with the values of B, C and D equal to B2, C2 and D2.
So you discover that A is not an independent variable? It might better serve your query if you were to come up with a real world example to illustrate your question, and also indicate what year of maths you are studying at school.

Perhaps the word "correlates" might be useful here, as it doesn't ascribe a causal relationship. (Example: the height of a man correlates strongly with the length of the trousers he buys.)
 

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