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QUESTION: 1

Since Blood Pressure of a person depends on age, we need consider

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QUESTION: 2

If for two variable x and y, the covariance, variance of x and variance of y are 40, 16 and 256 respectively, what is the value of the correlation coefficient?

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QUESTION: 3

The difference between the observed value and estimated value in regression analysis is known as

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QUESTION: 4

The method applied for deriving the regression equations is known as

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QUESTION: 5

The errors in case of regression equation are

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QUESTION: 6

If the relationship between two variables x and y in given by 2x+3y+4=0, then the value of the correlation coefficient between x and y is

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QUESTION: 7

Product moment correlation coefficient may be defined as the ratio of

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QUESTION: 8

When r = 1, all the points in a scatter diagram would lie

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QUESTION: 9

What is the quickest method to find correlation between two variables?

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QUESTION: 10

If the value of correlation coefficient is positive, then the points in a scatter diagram tend to cluster

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QUESTION: 11

If there is a perfect disagreement between the marks in Geography and Statistic, then what would be the value of rank correlation coefficient?

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QUESTION: 12

The coefficient of correlation between two variables

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QUESTION: 13

For finding correlation between two attributes, we consider

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QUESTION: 14

In case the correlation coefficient between two variables is 1, the relationship between the two variables would be

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QUESTION: 15

For finding the degree of agreement about beauty between two judges in a Beauty Contest, we use

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QUESTION: 16

When we are not concerned with the magnitude of the two variables under discussion, we consider

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QUESTION: 17

The covariance between two variables is

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QUESTION: 18

What are the limits of the correlation coefficient?

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Limit: Coefficient values can range from +1 to -1, where +1 indicates a perfect positive relationship, -1 indicates a perfect negative relationship, and a 0 indicates no relationship exists.. Pure number: It is independent of the unit of measurement.

QUESTION: 19

What are the limits of the coefficient of concurrent deviation?

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QUESTION: 20

Product moment correlation coefficient is considered for

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QUESTION: 21

What is spurious correlation?

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QUESTION: 22

Scatter diagram is considered for measuring

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QUESTION: 23

The correlation between the speed of an automobile and the distance travelled by it after applying the brakes is

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QUESTION: 24

Regression analysis is concerned with

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QUESTION: 25

Correlation analysis aims at

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QUESTION: 26

For a bivariate frequency table having (p+q) classification the total number of cells is

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QUESTION: 27

If the plotted points in a scatter diagram lie from upper left to lower right, then the correlation is

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QUESTION: 28

The correlation between shoe-size and intelligence is

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QUESTION: 29

Some of the cell frequencies in a bivariate frequency table may be

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QUESTION: 30

For a p x q bivariate frequency table, the maximum number of marginal distributions is

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QUESTION: 31

Bivariate Data are the data collected for

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QUESTION: 32

Scatter diagram helps us to

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QUESTION: 33

If all the plotted points in a scatter diagram lie on a single line, then the correlation is

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QUESTION: 34

For a p x q classification of bivariate data, the maximum number of conditional distributions is

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QUESTION: 35

If the plotted points in a scatter diagram are evenly distributed, then the correlation is

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QUESTION: 36

If the lines of regression in a bivariate distribution are given by x+2y=5 and 2x+3y=8, then the coefficient of correlation is:

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QUESTION: 37

If the correlation coefficient between two variables is 1, then the two lines of regressions are:

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QUESTION: 38

If the covariance between two variables is 20 and the variance of one of the variables is 16, what would be the variance of the variables is 16, what would be the variance of the other variable?

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QUESTION: 39

The coefficient of correlation is significant if:

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QUESTION: 40

If the sum of square of differences of rank is 50 and number of items is 8 then what is the value of rank correlation coefficient.

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