The square of the correlation coefficient is
The square of the regression coefficient
The square root of the regression coefficient
The product of the regression coefficient
Always unity.
In the case of perfect correlation between x and y, the number of regression lines is
0
1
2
More than 2
The limits of spearman's rank correlation (R) coefficient is
-∞<R<∞
0 ≤ R<∞
-1≤R≤0
-1≤R≤1
If y= px+3 and x = 3y+5 are the regression lines of y on x and x on y respectively, then
0 ≤ p≤1/3
0≤p ≤1/5
0≤ p≤1/15
0 ≤ p ≤ 5
The coefficient of correlation between x and y is 0.6. Their covariance is 4.8 and var(x)=9 . Then σy =
8/3
3/8
8/9
9/8
If x and y are independent then cov (x,y)= ___________
-1
0.5
If r=0, then the regression lines are.
Non-zero
Coincident
Perpendicular
Not perpendicular.
Two regression lines are given by 4x+3y+7 = 0 and 3x+4y+8 = 0. Then the regression line of y on x is
4x+3y+7= 0
3x+4y+8 = 0
Neither is the regression lines of y on x
None of these.
The regression lines are x =0.49 y and y = 0.81 x . The coefficient of correlation is
6.3
0.63
63
The lines of regressions make angles 300 and 600 with the positive direction of the x-axis . Then the coefficient of correlation between x and y is
√3
1/√3
