Testing the significance of r

Testing the significance of r

    The significance of r can be tested by Student’s t test. The test statistics is given by
    t=
    This t is distributed as Student’s t distribution with (n-2) degrees of freedom.
    The relationship between the variables is interpreted by the square of the correlation coefficient (r2) which is called coefficient of determination. The value 1-r2 is called as coefficient of alienation. If r2 is 0.72, it implies that on the basis of the samples 72% of the variation in one variable is caused by the variation of the other variable. The coefficient of determination is used to compare 2 correlation coefficients
    Problem
    Compute Pearsons coefficient of correlation between plant height (cm) and yield (Kgs) as per the data given below

    Plant Height (cm)

    39

    65

    62

    90

    82

    75

    25

    98

    36

    78

    Yield in Kgs

    47

    53

    58

    86

    62

    68

    60

    91

    51

    84


    Solution
    • Ho: The correlation coefficient r is not significant
    • H1: The correlation coefficient r is significant.
    • Level of significance 5%
    From the data
    n = 10

    ex Ey xy= x2 y2
    r=
    ans
    Ans
    Correlation coefficient is positively correlated.
    Test Statistic
    t=
    t=
    ttab=t(10-2, 5%los)=2.306
    Inference
    t> ttab, we reject null hypothesis.
    • ...The correlation coefficient r is significant. (i.e) There is a relation between plant height and yield.

Last modified: Tuesday, 31 January 2012, 11:20 PM