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QUESTION: 1

(Direction 1-40) Write the correct answers. Each question carries 1 mark.

**Q. Bivariate Data are the data collected for**

Solution:

The primary purpose of **bivariate data** is to compare the two sets of **data** or to find a relationship between the two variables.

QUESTION: 2

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

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QUESTION: 3

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

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QUESTION: 4

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

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QUESTION: 5

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

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QUESTION: 6

Correlation analysis aims at

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QUESTION: 7

Regression analysis is concerned with

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QUESTION: 8

What is spurious correlation?

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QUESTION: 9

Scatter diagram is considered for measuring

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QUESTION: 10

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

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QUESTION: 11

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

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QUESTION: 12

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

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QUESTION: 13

The correlation between shoe-size and intelligence is

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QUESTION: 14

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

Solution:

**The correct option is Option C.**

When brakes are applied to a moving vehicle, the distance it travels before stopping is called stopping distance. It is an important factor for road safety and depends on the initial velocity (v0) and the braking capacity, or deceleration, -a that is caused by the braking.

QUESTION: 15

Scatter diagram helps us to

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QUESTION: 16

Pearson’s correlation coefficient is used for finding

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QUESTION: 17

Product moment correlation coefficient is considered for

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QUESTION: 18

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

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QUESTION: 19

A process by which we estimate the value of dependent variable on the basis of one or more independent variables is called:

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QUESTION: 20

Product moment correlation coefficient may be defined as the ratio of

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QUESTION: 21

The covariance between two variables is

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QUESTION: 22

The coefficient of correlation between two variables

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QUESTION: 23

What are the limits of the correlation coefficient?

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QUESTION: 24

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

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QUESTION: 25

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: 26

For finding correlation between two attributes, we consider

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QUESTION: 27

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

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QUESTION: 28

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

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QUESTION: 29

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

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QUESTION: 30

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

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QUESTION: 31

What are the limits of the coefficient of concurrent deviations?

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QUESTION: 32

If there are two variables x and y, then the number of regression equations could be

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QUESTION: 33

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

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QUESTION: 34

The method applied for deriving the regression equations is known as

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QUESTION: 35

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

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QUESTION: 36

The errors in case of regression equations are

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QUESTION: 37

The regression line of y on is derived by

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QUESTION: 38

What are the limits of the two regression coefficients?

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QUESTION: 39

The two lines of regression become identical when

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QUESTION: 40

The regression coefficients remain unchanged due to a

Solution:

The regression coefficients remain unchanged due to a shift of origin but change due to a shift of scale. (mea of "x", mean of "y"), ... If both the regression coefficients are negative, r would be negative and if both are positive, r would assume a positive value.

### Correlation And Regression (Part - 1)

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- Test: Correlation And Regression- 1
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- Test: Correlation And Regression- 7
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- Test: Correlation And Regression- 2
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- Test: Correlation And Regression- 4
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- Test: Correlation And Regression- 6
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