**1.** If the value of partial correlation is zero, it indicates (where X₁, X₂ and X₃ are three variables)
(i) Simple correlation between X₁ and X₂ is due to the effect of X₃
(ii) True relationship between X₁ and X₂ variables
(iii) Dependent variable is highly correlated with various independent variables
(iv) Contribution of various component characters towards dependent variable
---
**2.** If the value of partial correlation is significant, it indicates (where X₁, X₂ and X₃ are three variables)
(i) Simple correlation between X₁ and X₂ is due to the effect of X₃
(ii) True relationship between X₁ and X₂ variables
(iii) Dependent variable is highly correlated with various independent variables
(iv) Contribution of various component characters towards dependent variable
---
**3.** The estimate of joint effect of two or more independent variables on dependent variables is called as
(i) Simple correlation
(ii) Partial correlation
(iii) Biserial correlation
(iv) Multiple correlation
---
**4.** Multiple correlation lies between
(i) 0 to 1
(ii) 0 to -1
(iii) -1 to 1
(iv) None of these
---
**5.** The value of multiple correlation has
(i) Always non-negative value
(ii) Always positive value
(iii) Always negative value
(iv) Both (i) and (ii)
---
**6.** Choose the incorrect statement
(i) The value of multiple correlation is always greater (may be equal) than partial and simple correlation
(ii) Multiple correlations are estimated from simple correlation
(iii) Multiple correlation is denoted as R₁.₂₃ (1 – dependent variable and 2, 3 – independent variable)
(iv) The correlation coefficient is depend upon change of origin and scale of data
0 Comments