For a sample of volume 61, average values were found x = 5.574 , y =14.492 , 2 x = 34.361, 2 y = 213.639, xy = 83.148 . Find sample linear correlation coefficient and check its significance on level 0.05.
Given,
"n=61,\\Sigma x = 5.574 , \\Sigma y =14.492 , \\Sigma x^2 = 34.361, \\Sigma y^2 = 213.639,\\Sigma xy = 83.148"
"r=\\dfrac{n \\Sigma xy-(\\Sigma x)(\\Sigma y)}{\\sqrt{[n\\Sigma x^2-(\\Sigma x)^2][n\\Sigma y^2-(\\Sigma y)^2]}}\n\\\\ =\\dfrac{61 \\times 83.148-(5.574)(14.492)}{\\sqrt{[61\\times 34.361-(5.574)^2][61\\times 213.639-(14.492)^2]}}\n\\\\=\\dfrac{4991.249592}{5145.554175}\n\\\\=0.97"
From online calculator of R,
Or we can use R table (Correlation table) to get:
Critical values for r"=\\pm0.213"
Our obtained value of r is 0.97 which does not lie in this interval.
So, it falls in rejection region.
Thus, r=0.97 is significant.
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