The variable which influences the values or is used for prediction is called________.

(a)

Dependent variable

(b)

Independent variable

(c)

Explained variable

(d)

Regressed

The regression coefficient of Y on X ________.

(a)

b_xy =\(\frac { N\Sigma dxdy-(\Sigma dx)(\Sigma dy) }{ N\Sigma dy^{ 2 }-(\Sigma dy)^{ 2 } } \)

(b)

b_yx =\(\frac { N\Sigma dxdy-(\Sigma dx)(\Sigma dy) }{ N\Sigma dy^{ 2 }-(\Sigma dy)^{ 2 } } \)

(c)

b_yx =\(\frac { N\Sigma dxdy-(\Sigma dx)(\Sigma dy) }{ N\Sigma dx^{ 2 }-(\Sigma dx)^{ 2 } } \)

(d)

b_xy =\(\frac { N\Sigma xy-(\Sigma x)(\Sigma y) }{ \sqrt { N\Sigma { x }^{ 2 }-(\Sigma x)^{ 2 }\times \sqrt { N\Sigma { y }^{ 2 }-(\Sigma y)^{ 2 } } } } \)

The lines of regression of X on Y estimates ________.

(a)

X for a given value of Y

(b)

Y for a given value of X

(c)

X from Y and Y from X

(d)

none of these

If two variables moves in decreasing direction then the correlation is ________.

(a)

positive

(b)

negative

(c)

perfect negative

(d)

no correlation

The term regression was introduced by ________.

(a)

R.A Fisher

(b)

Sir Francis Galton

(c)

Karl Pearson

(d)

Croxton and Cowden

If Cov(x, y) = –16.5, \({ \sigma }_{ x }^{ 2 }=2.89,{ \sigma }_{ y }^{ 2 }\) = 100. Find correlation coefficient ________.

(a)

-0.12

(b)

0.001

(c)

-1

(d)

-0.97