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
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
If cov(x,y)= -1.55, var (x) = 1.55, var (y)= 1.55, then ρ(x,y) =
1
-1
0
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
If the regression lines are identical, the correlation coefficient is
+1
Either +1 0r -1
The regression coefficients are -0.8 and -0.8. The coefficient of correlation is
0.64
0.8
-0.8
If r=0, then the regression lines are.
Non-zero
Coincident
Perpendicular
Not perpendicular.
If the correlation coefficient is positive, then
Both regression coefficients are positive
Both regression coefficients are negative
Exactly one regression coefficient is negative.
The Karl Pearson's coefficient of correlation
Cannot be greater than-1
Lies in the closed interval [-1,1]
lies in the open interval (-1,1)
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
