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What is a statement called that explains how variables affect each other called?

It is called a causal relationship or causal statement. This type of statement highlights the cause-and-effect relationship between variables, describing how changes in one variable can directly influence another variable.


Does a negative correlation coefficient indicate an inverse relationship?

Yes, but the relationship need not be causal.


Do you get cancer if you do protest?

There is no causal relationship between protest and cancer.


Is a type of causal relationship. Logic Induction Chain of events Reasoning?

A causal relationship refers to a connection where one event or factor directly influences another. In the context of logic, induction involves drawing general conclusions from specific instances, often suggesting a causal link. A chain of events illustrates how one action leads to another, emphasizing the cause-and-effect dynamic. Reasoning encompasses the mental process of connecting ideas, often used to infer causal relationships based on evidence or observations.


What is causal order?

The term "causal order" can be defined as a method of organising ones speech to ensure that the major points demonstrate a relationship between the cause and its effect.


Is Causal reasoning a type of inductive reasoning?

Yes.


Is although a causal connective?

No, although is a concessive connective, not a causal one. It introduces a contrast or contradiction between two ideas rather than showing a cause-and-effect relationship.


What is the difference between a causal relationship and a positive relationship?

well, you don't go insane and have maggots eat your feet. -Stalin M.D.


What is the difference between correlation and causal relationship in research studies?

Correlation in research studies shows a relationship between two variables, but it does not prove that one variable causes the other. A causal relationship, on the other hand, indicates that changes in one variable directly cause changes in another variable.


What is a causal hypothesis?

A causal hypothesis is a proposed explanation for a cause-and-effect relationship between two or more variables. It suggests that changes in one variable directly influence changes in another variable. Researchers test causal hypotheses through experiments or empirical studies to determine the validity of the proposed relationship.


What examines if an observed causal relationship generalizes across persons settings and times?

External Validity


Events 2 has a causal relationship with Event 1 when?

Event 1 makes Event 2 happen.