Q1. —– is widely used for prediction
a) regression analysis
b) correlation analysis
c) analysis of variance
d) analysis of covariance
Correct Answer a) regression analysis
Q2. The linear regression analysis can be classified in to
a) 4 types
b) 3 types
c) 2 types
d) none of the above
Correct Answer c) 2 types
Q3. The linear equation Y = a + bx is called as regression equation of
a) X on Y
b) Y on X
c) between X and Y
d) ‘a’ on ‘b’
Correct Answer b) Y on X
Q4. In regression equation X = a + by + e is
a) correlation coefficient of Y on X
b) correlation coefficient of X on Y
c) regression coefficient of Y on X
d) regression coefficient of X on Y
Correct Answer d) regression coefficient of X on Y
Q5. byx
Correct Answer B
Q6. If bXY > 1 then bYX is
a) 1
b) 0
c) > 1
d) < 1
Correct Answer D
Q7. In the Regression equation
a) bYX
b) bXY
c) rXY
d) cov(X,Y)
Correct Answer a) bYX
Q8. Using the regression coefficients we can calculate
a) cov(X, Y)
b) SD(X)
c) correlation coefficient
d) coefficient of variance
Correct Answer c) correlation coefficient
Q9. Arithmetic mean of the regression coefficients bXY and bYX is
a) > rXY
b) ≥ rXY
c) ≤ rXY
d) < rXY
Correct Answer b) ≥ rXY
Q10. Regression analysis helps in establishing a functional relationship between —– variables.
a) 2 or more variables
b) 2 variables
c) 3 variables
d) none of these
Correct Answer a) 2 or more variables
Q11. —– is the Father of mental tests
a) R.A. Fisher
b) Croxton and Cowden
c) Francis Galton
d) A.L. Bowley
Correct Answer c) Francis Galton
Q12. Correlation coefficient is the —– between the regression coefficients
a) arithmetic mean
b) geometric mean
c) harmonic mean
d) none of the above
Correct Answer b) geometric mean
Q13. If the two lines of regression are perpendicular to each other then rXY =
a) 0
b) 1
c) –1
d) 0.5
Correct Answer a) 0
Q14. If the two regression lines are parallel then
a) rXY = 0
b) rXY = +1
c) rXY = –1
d) rXY = ± 1
Correct Answer d) rXY = ± 1
Q15. Angle between the two regression lines is
Correct Answer C
Q16. Regression equation of X on Y is
a) Y = a + bYXx + e
b) Y = bXYx + a + e
c) X = a + bXYy + e
d) X = bYXy + a + e
Correct Answer c) X = a + bXYy + e
Q17. For the regression equation 2Y^= 0.605x + 351.58. e regression coefficient of Y on X is
a) bXY = 0.3025
b) bXY = 0.605
c) bYX = 175.79
d) bYX = 351.58
Correct Answer a) bXY = 0.3025
Q18. If bXY = 0.7 and ‘a’ = 8 then the regression equation of X on Y is
a) Y = 8 + 0.7 X
b) X = 8 + 0.7 Y
c) Y = 0.7 + 8 X
d) X = 0.7 + 8 Y
Correct Answer b) X = 8 + 0.7 Y
Q19. The regression lines intersect at
a) (X̄, Ȳ)
b) (X, Y)
c) (0, 0)
d) (1, 1)
Correct Answer a) (X̄, Ȳ)