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QUESTION: 1

If b_{yx} and b_{xy }are negative, r is

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QUESTION: 2

Correlation coefficient r lie between the regression coefficients b_{yx} and b_{xy}

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QUESTION: 3

Since the correlation coefficient r cannot be greater than 1 numerically, the product of the regression must

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QUESTION: 4

The correlation coefficient r is the __________ of the two regression coefficients b_{yx} and b_{xy}

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QUESTION: 5

Which are is true

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QUESTION: 6

Maximum value of Rank Correlation coefficient is

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QUESTION: 7

The partial correlation coefficient lies between

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QUESTION: 8

r_{12 }is the correlation coefficient between

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QUESTION: 9

r_{12} is the same as r_{21}

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QUESTION: 10

In case ‘Age and income’ correlation is

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QUESTION: 11

In case ‘Speed of an automobile and the distance required to stop the car often applying brakes’ – correlation is

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QUESTION: 12

In case ‘Sale of woolen garments and day temperature’–––– correlation is

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QUESTION: 13

In case ‘Sale of cold drinks and day temperature’ –––––– correlation is

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QUESTION: 14

In case of ‘Production and price per unit’ – correlation is

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QUESTION: 15

If slopes at two regression lines are equal them r is equal to

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QUESTION: 16

Co–variance measures the joint variations of two variables.

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QUESTION: 17

The minimum value of correlation coefficient is

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QUESTION: 18

The maximum value of correlation coefficient is

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QUESTION: 19

When r = 0 , the regression coefficients are

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QUESTION: 20

For the regression equation of Y on X , 2x + 3Y + 50 = 0. The value of b_{YX} is

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QUESTION: 21

In Method of Concurrent Deviations, only the directions of change (Positive direction / Negative direction) in the variables are taken into account for calculation of

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QUESTION: 22

In calculating the Karl Pearson’s coefficient of correlation it is necessary that the data should be of numerical measurements. The statement is

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QUESTION: 23

Correlation coefficient can be found out by

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Scatter diagrams are used to demonstrate correlation between two quantitative variables. Spearman's Rank correlation coefficient is a technique which can be used to summarize the strength and direction of a relationship between two variables.

QUESTION: 24

In rank correlation coefficient the association need not be linear

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QUESTION: 25

Great advantage of _________ is that it can be used to rank attributes which can not be expressed by way of numerical value.

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QUESTION: 26

Correlation coefficient is ___________ of the units of measurement.

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QUESTION: 27

Rank correlation coefficient lies between

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QUESTION: 28

A coefficient near +1 indicates tendency for the larger values of one variable to be associates with the larger values of the other

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QUESTION: 29

Correlation methods are used to study the relationship between two time series of data which are recorded annually, monthly, weekly, daily and so on.

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QUESTION: 30

The value of correlation coefficient lies between

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QUESTION: 31

In rank correlation coefficient only an increasing/decreasing relationship is required

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QUESTION: 32

Correlation coefficient is a pure number

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QUESTION: 33

Age of Applicants for life insurance and the premium of insurance – correlations are

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QUESTION: 34

The sum of the difference of rank is

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QUESTION: 35

Karl Pearson’s coefficient is defined from

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QUESTION: 36

Covariance measures __________ variations of two variables.

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QUESTION: 37

For y = 25, what is the estimated value of x, from the following data:

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QUESTION: 38

Correlation coefficient between two variables is a measure of their linear relationship

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QUESTION: 39

The following data relate to the heights of 10 pairs of fathers and sons:

(175, 173), (172, 172), (167, 171), (168, 171), (172, 173), (171, 170), (174, 173), (176, 175), (169, 170), (170, 173)

The regression equations of height of son on that of father is given by

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QUESTION: 40

When high values of one variable are associated with high values of the other & low values of one variable are associated with low values of another, then they are said to be

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