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Correlation Test - 1

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Correlation Test - 1
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  • Question 1
    1 / -0

    The coefficient of correlation

    Solution

    Because the two series can be related directly or Inversely.

     

  • Question 2
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    Which of the following indicates the strongest relationship?

    Solution

    The highest score shows high degree of correlation. It can be positive or negative.

     

  • Question 3
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    If the plotted points in the plane are spread all over the diagram, then there is

    Solution

    Data points scattered all over the diagram indicate no association between the two variables and hence there is no correlation.

     

  • Question 4
    1 / -0

    If two variables oppose each other then the correlation will be

    Solution

    Negative correlation implies that high value of one variable will correspond to a low value of another variable and vice versa.

     

  • Question 5
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    Two variables are said to be positively correlated when with _____ in the value of one variable, the value of other variable also _____

    Solution

    Positive correlation implies that both the variables will move in the same direction, either both will rise or both will fall.

     

  • Question 6
    1 / -0

    If two variables are highly correlated, what do you know?

    Solution

    High degree of correlation implies that there is a strong relationship between the two variables and that the changes in one variable cause predictable changes in the other variable.

     

  • Question 7
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    The Spearman correlation is used with

    Solution

    Spearman's rank correlation is used for ordinal data, where the values have not been measured but have been ranked.

     

  • Question 8
    1 / -0

    The nature of correlation for shoe size and IQ is _________

    Solution

    There is no relationship between the shoe size of a person and his IQ and therefore there is no correlation

     

  • Question 9
    1 / -0

    What is the range of simple correlation coefficient?

    Solution

    Because the correlation between two variables can be negative or positive or no relation

     

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