The coefficient of correlation for the following

data

x : 1 2 3 4 5 6 7 8 9 10

y : 3 10 5 1 2 9 4 8 7 6

will be

Karl Pearson's coefficient of correlation

between x and y for the following data

x : 3 4 8 9 6 2 1

y : 5 3 7 7 6 9 2 

is

Karl Pearson's coefficient of correlation

between the marks in English and

Mathematics by ten students

will be

Coefficient of correlation from the following

data

x : 1 2 3 4 5

y : 2 5 7 8 10

will be -

Coefficient of correlation between x and y for

the following data

x : 15 16 17 17 18 20 10

y : 12 17 15 16 12 15 11

will be approximately

The coefficient of correlation for the following

x : 2 4 5 6 3 6 8 10

y : 5 6 6 8 4 8 12 15

will be approximately

For the following data

x : 10 7 12 12 9 16 12

y : 6 4 7 8 10 7 10

the value of r will be

For the following pairs of observations (1, 10),

(2, 9), (3, 9), (4, 8), (5, 6) (6, 12), (7, 4),

(8, 3) (9, 13), (10, 1) cov (x, y) =

If r = 0.2, then linear correlation will be

necessarily

If coefficient of correlation between the

variables x and y is zero, then

When the origin is changed, then the

coefficient of correlation

When the correlation between two variables

is perfect, then the value of coefficient of

correlation r is

If r = – 0.97, then

The coefficient of correlation is independent

of

Which of the following statements is correct

Karl Pearson's coefficient of rank correlation

between the ranks obtained by ten students

in Mathematics and Chemistry in a class

test as given below

If the coefficient of rank correlation between

marks in Mathematics and marks in Physics

obtained by a certain group of students is

0.8. If the sum of the squares of the

differences in ranks is given to be 33, then

the number of students in the group is

If the regression equations of the variables x

and y be x = 19.13 – 0.83 y and y = 11.64

– 0.50x, then the correlation coefficient

between x and y is

If the lines of regression coincide, then the

value of correlation coefficient is

If 3x = 2y – 1 and 2x + 3y + 1 = 0 are two

lines of regression, then the coefficient of

correlation will be

If the values of regression coefficients are

– 0.33 and – 1.33, then the value of coefficient

of correlation between the two variables, is

If the correlation coefficient between two

variables X and Y is 0.4 and the regression

coefficient of X on Y is 0.2, then the

regression coefficient of Y on X is

If one regression coefficient be unity, then

the other will be

If the coefficient of correlation is positive, then

the regression coefficients

If both the regression lines intersect

perpendicularly, then

If var (x) = 21/4 and var (y) = 21 and r = 1,

then standard error of y is

If

x : 2 4 6 8 10 12 14 16

y : 25 18 16 16 14 8 8 4

Then

In a scatter diagram, the points are scattered

equally in all corners of a quadrants, then