객관식
Which statement about correlation is false?
64
views
11. Correlation
Scatterplots & Intro to Correlation
객관식
In the context of scatterplots and correlation, which statement best describes how correlation and causation differ?
A
Correlation can only be negative, while causation can be positive or negative.
B
Correlation describes an association between two variables, while causation means changes in one variable directly produce changes in the other.
C
Correlation proves a cause-and-effect relationship, while causation only suggests a possible relationship.
D
Correlation means one variable causes the other, while causation only means the variables are related.
검증된 단계별 안내1
Step 1: Understand the concept of correlation. Correlation measures the strength and direction of a linear relationship between two variables. It is a statistical association but does not imply that one variable causes the other to change.
Step 2: Understand the concept of causation. Causation means that changes in one variable directly cause changes in another variable, indicating a cause-and-effect relationship.
Step 3: Recognize that correlation can be positive (both variables increase together) or negative (one variable increases while the other decreases), but it only indicates association, not causality.
Step 4: Note that causation requires more rigorous evidence, such as controlled experiments or longitudinal studies, to establish that one variable produces changes in another.
Step 5: Conclude that the best description is: correlation describes an association between two variables, while causation means changes in one variable directly produce changes in the other.
관련 영상
관련 실천
