*1.** Multiple correlation coefficient is denoted as (where X₁, X₂, and X₃ are variables)
(i) R₁.₂₃ = √\[(r₁₂² + r₁₃² - 2r₁₂r₁₃r₂₃) / (1 - r₂₃²)]
(ii) R₁.₂₃ = √\[(r₁₂ + r₁₃) / (1 - r₂₃²)]
(iii) R₁.₂₃ = √\[(r₁₂² + r₁₃²) / (1 - r₂₃²)]
(iv) All of these
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**2.** If the value of multiple correlation is highly significant, it indicates
(i) The dependent variable is highly correlated with various independent variables
(ii) The dependent variable is highly uncorrelated with various independent variables
(iii) The dependent variable is negatively correlated with various independent variables
(iv) None of these
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**3.** Estimate of coefficient of determination indicates
(i) Contribution of various component characters towards dependent variable
(ii) Contribution of various component characters towards dependent variable
(iii) Contribution of various component characters towards dependent variable
(iv) None of these
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**4.** Analysis of correlation coefficient based is on
(i) First order statistics
(ii) Second order statistics
(iii) Third order statistics
(iv) Both (i) and (ii)
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**5.** Estimation of coefficient of determination is not possible in
(i) Partial and multiple correlations
(ii) Simple and partial correlations
(iii) Simple and multiple correlations
(iv) Multiple correlations
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**6.** Estimation of Genotypic, phenotypic, and environmental correlation involves
(i) Two variables
(ii) Three variables
(iii) Both (i) and (ii)
(iv) None of these
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