Question:

A test that measures the degree of dependence of one variable (dependent) on the other variable (independent) is called

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Dependence Functional prediction ($Y$ on $X$) $\implies$ Regression Analysis. Degree of mutual association $\implies$ Correlation Coefficient ($r$).
  • Regression analysis
  • ANOVA
  • Chi-square test
  • Paired t-test
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The Correct Option is A

Solution and Explanation


Step 1: Understanding the Concept:

Statistical modeling differentiates between measuring mutual linear association (correlation) and functional dependence/prediction (regression).
Key Formula or Approach:
\[ Y = \alpha + \beta X + \epsilon \]
where \(Y\) is the dependent variable and \(X\) is the independent explanatory variable.

Step 2: Detailed Explanation:

1. Regression Analysis: A statistical technique used to estimate the mathematical functional relationship and measure the degree of dependence of a continuous dependent (response) variable on one or more independent (predictor) variables.
2. Correlation: Measures the strength and direction of mutual linear association without functional dependence.
3. ANOVA: Tests differences among group means.

Step 3: Final Answer:

Thus, the test measuring the degree of dependence is Regression analysis, corresponding to option (A).
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