A technique used to measure the degree of interdependence between two random variables is:

Question

Options

• ARegression analysis
• BHypothesis testing
• CCorrelation analysis
• DSampling

• B
  4% (1)
• C
  88% (23)
• D
  8% (2)

Explanation

Correlation analysis (C) directly measures the strength and direction of the linear relationship between two random variables, expressed as a coefficient ranging from -1 to +1 - making it the exact tool for quantifying interdependence.

Why the others are wrong:

• A (Regression analysis) predicts the value of one variable based on another - it models a relationship rather than simply measuring mutual dependence.
• B (Hypothesis testing) evaluates whether a claim about a population is statistically supported - it's a decision-making framework, not a dependence measure.
• D (Sampling) is a data collection method - it has nothing to do with measuring relationships between variables.

Memory tip: Think of correlation as "co-relation" - two things relating together, which is exactly what interdependence means. If a question asks how closely two variables move together, that's always correlation.

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