Which one of the following is used in causal analysis?
Show Hint
- Pearson correlation
- Linear regression
- Frequency distribution
- Standard deviation
The Correct Option is B
Solution and Explanation
Causal analysis aims to determine whether one variable has an effect on another. Linear regression is commonly used in causal analysis to predict the value of one variable based on the value of another, which helps in understanding relationships and causes.
Step 2: Analyzing the options.
- (A) Incorrect, Pearson correlation measures the strength and direction of a linear relationship between two variables, but it does not determine causality.
- (B) Correct, linear regression is used in causal analysis to examine relationships between variables and establish predictive cause-and-effect connections.
- (C) Incorrect, frequency distribution is a tool to visualize how data is distributed, not used for causal analysis.
- (D) Incorrect, standard deviation measures the spread of data, but it does not directly inform causal relationships.
Step 3: Conclusion.
The correct answer is (B) Linear regression.
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After the 2nd round, the 5th student behind Q leaves the game.
After the 3rd round, the 3rd student behind V leaves the game.
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