The limits of spearman's rank correlation (R) coefficient is
-∞<R<∞
0 ≤ R<∞
-1≤R≤0
-1≤R≤1
If the correlation coefficient is positive, then
Both regression coefficients are positive
Both regression coefficients are negative
Exactly one regression coefficient is negative.
None of these.
If the two regression lines are x+4y=3 and 3x+y =15, then the value of x for which y = 5 is
3/10
-17
10/3
1/17
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
If bxy is positive then byx is
Positive
Negative
Can be any
The regression coefficients are -0.8 and -0.8. The coefficient of correlation is
0.64
0.8
-0.8
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 regression of a set of data are 8x-10y+66 = 0, 40 x -18y = 214. The variance of x is 9. Then the mean value of x and y are
15,16
13,17
14,16
15,17
The coefficient of correlation is independent of
Change of origin only
Change of scale only
Change of origin and scale
If cov(x,y)= -1.55, var (x) = 1.55, var (y)= 1.55, then ρ(x,y) =
1
-1
0
