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Correlation Test - 10

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Correlation Test - 10
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  • Question 1
    1 / -0
    Consider the following statements :
    1. Two independent variables are always uncorrelated.
    2. 
    The coefficient of correlation between two variables X and Y is positive. When X decreases then Y decreases.
    Which of the above statements is/are correct ?
    Solution
    Two independent variables have coefficient of correlation $$0$$, So they are always uncorrelated.
    Positive coefficient means they both move in same direction, so if $$X$$ decreases then $$Y$$ also decreases.
    So, both the statements are correct.
    Hence, C is correct.
  • Question 2
    1 / -0
    Regression coefficient is independent of: 
    Solution
    The regression coefficient is the measure of the relationship between two or more variables.

    The regression coefficient is denoted by 'b'

    The regression coefficient is independent of the measurement units, scale and origin. 
  • Question 3
    1 / -0
    It is possible that two regression coefficients have: 
    Solution
    Regression coefficient is the measure of the relationship between two or more variables.

    The regression coefficient is denoted by 'b'

    The regression coefficients must have the same sign. i.e., both must be positive or both must be negative.
  • Question 4
    1 / -0
    In correlation, there is______________.
    Solution
    A cause- effect is a relationship in which one event makes another event happen while, in correlation, there is no cause effect relationship, there is only a casual relationship between the variables.
  • Question 5
    1 / -0
    The value of Spearman's rank coefficient lies between 
    Solution
    Spearman's rank cofficient : $$R=1-\dfrac { 6\sum { { d }_{ i }^{ 2 } }  }{ n({ n }^{ 2 }-1) } $$
    Its values lies between $$-1$$ and $$1$$
    So option $$D$$ is correct.
  • Question 6
    1 / -0
    If the value of any regression coefficient is zero, then two variables are: 
    Solution
    $$\Rightarrow$$  If the correlation coefficient of two variables is zero, it signifies that there is no linear relationship between the variables. However, this is only for a linear relationship; it is possible that the variables have a strong curvilinear relationship.
    $$\Rightarrow$$  When the value of r is close to zero, generally between $$-0.1$$ and $$+0.1,$$ the variables are said to have no linear relationship or a very weak linear relationship. 
    $$\Rightarrow$$  For example, suppose the prices of coffee and of computers are observed and found to have a correlation of $$+.0008;$$ this means that there is no correlation, or relationship, between the two variables.
    $$\therefore$$  We can say that, if the value of any regression coefficient is zero, then two variables are $$Independent$$.
  • Question 7
    1 / -0
    What is the correlation of this scatter diagram 

    Solution
    If the band is falling down from left to right then it indicates negative correlation.
    If the width of the band is bigger, then the correlation is of low degree.
  • Question 8
    1 / -0
    Regression is________________.
    Solution
    Regression is the statistical analysis that measure the degree of relationship between two variables i.e. dependent and independent variables. Regression is independent of origin and not of scale.
  • Question 9
    1 / -0
    What is the correlation of this scatter diagram 

    Solution
    If the points are rising from left to right in a straight line then scatter diagram indicates a perfect positive correlation
  • Question 10
    1 / -0
    What is the correlation of this scatter diagram 

    Solution
    If the points are falling from left to right in a straight line then scatter diagram indicates a perfect negative correlation
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