Given,
n = 61 , Σ x = 5.574 , Σ y = 14.492 , Σ x 2 = 34.361 , Σ y 2 = 213.639 , Σ x y = 83.148 n=61,\Sigma x = 5.574 , \Sigma y =14.492 , \Sigma x^2 = 34.361, \Sigma y^2 = 213.639,\Sigma xy = 83.148 n = 61 , Σ x = 5.574 , Σ y = 14.492 , Σ x 2 = 34.361 , Σ y 2 = 213.639 , Σ x y = 83.148
r = n Σ x y − ( Σ x ) ( Σ y ) [ n Σ x 2 − ( Σ x ) 2 ] [ n Σ y 2 − ( Σ y ) 2 ] = 61 × 83.148 − ( 5.574 ) ( 14.492 ) [ 61 × 34.361 − ( 5.574 ) 2 ] [ 61 × 213.639 − ( 14.492 ) 2 ] = 4991.249592 5145.554175 = 0.97 r=\dfrac{n \Sigma xy-(\Sigma x)(\Sigma y)}{\sqrt{[n\Sigma x^2-(\Sigma x)^2][n\Sigma y^2-(\Sigma y)^2]}}
\\ =\dfrac{61 \times 83.148-(5.574)(14.492)}{\sqrt{[61\times 34.361-(5.574)^2][61\times 213.639-(14.492)^2]}}
\\=\dfrac{4991.249592}{5145.554175}
\\=0.97 r = [ n Σ x 2 − ( Σ x ) 2 ] [ n Σ y 2 − ( Σ y ) 2 ] n Σ x y − ( Σ x ) ( Σ y ) = [ 61 × 34.361 − ( 5.574 ) 2 ] [ 61 × 213.639 − ( 14.492 ) 2 ] 61 × 83.148 − ( 5.574 ) ( 14.492 ) = 5145.554175 4991.249592 = 0.97
From online calculator of R,
Or we can use R table (Correlation table) to get:
Critical values for r= ± 0.213 =\pm0.213 = ± 0.213
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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