Correlation Analysis

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  • Q1

    Calculate the covariance for the following bivariate data:

    X

    11

    13

    17

    19

    23

    29

    31

    37

    41

    43

    47

    Y

    17

    13

    11

    29

    23

    19

    41

    37

    31

    47

    43

    Marks:5
    Answer:

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  • Q2

    Find Cov(X, Y) for the following data:

    X

    10

    11

    12

    13

    14

    15

    Y

    11

    9

    13

    7

    15

    5

    Marks:3
    Answer:

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  • Q3

    Write down the different aspects involved in simple correlation.

    Marks:1
    Answer:

    Correlation has following aspects:
    1. Determining whether a relation exists and measuring it (strength or magnitude)
    2. Direction of the relation
    3. Testing whether it is significant
    4. Establishing the cause and effect relation, if any.

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  • Q4

    What is joint distribution?

    Marks:1
    Answer:

    If two or more variables are statically related, then such distribution is known as joint distribution.

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  • Q5

    Write down one example of joint distribution.

    Marks:1
    Answer:

    The relation between the working hours and monthly wages of workers is an example of joint distribution.

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