Advertisements
Advertisements
प्रश्न
Find the coefficient of correlation for the following:
| X | 78 | 89 | 96 | 69 | 59 | 79 | 68 | 62 |
| Y | 121 | 72 | 88 | 60 | 81 | 87 | 123 | 92 |
Advertisements
उत्तर
| X | Y | dx = X − 75 | dy = Y − 90 | dx2 | dy2 | dxdy |
| 78 | 121 | 3 | 31 | 9 | 961 | 93 |
| 89 | 72 | 14 | − 18 | 196 | 324 | − 252 |
| 96 | 88 | 21 | − 2 | 441 | 4 | − 42 |
| 69 | 60 | − 6 | − 30 | 36 | 900 | 180 |
| 59 | 81 | − 16 | − 9 | 256 | 81 | 144 |
| 79 | 87 | 4 | − 3 | 16 | 9 | − 12 |
| 68 | 123 | − 7 | 33 | 49 | 1089 | − 231 |
| 62 | 92 | − 13 | 2 | 169 | 4 | − 26 |
| 600 | 724 | 0 | 4 | 1172 | 3372 | − 146 |
N = 8, ΣX = 600, ΣY = 724, Σdx2 = 1172, Σdy2 = 3372, Σdxdy = − 146
Correlation coefficient
r = `("N"sum"dxdy" - sum"dx"sum"dy")/(sqrt("N"sum"dx"^2 - (sum"dx")^2) sqrt("N"sum"dy"^2 - (sum"dy")^2))`
= `(8(-146) - 0(4))/(sqrt(8 xx 1172 - 0) sqrt(8 xx 3372 - 16))`
= `(-1168)/(96.83 xx 164.2)`
= − 0.0735
APPEARS IN
संबंधित प्रश्न
Calculate the correlation coefficient for the following data.
| X | 5 | 10 | 5 | 11 | 12 | 4 | 3 | 2 | 7 | 1 |
| Y | 1 | 6 | 2 | 8 | 5 | 1 | 4 | 6 | 5 | 2 |
Find the coefficient of correlation for the following:
| Cost (₹) | 14 | 19 | 24 | 21 | 26 | 22 | 15 | 20 | 19 |
| Sales (₹) | 31 | 36 | 48 | 37 | 50 | 45 | 33 | 41 | 39 |
Calculate the coefficient of correlation for the ages of husbands and their respective wives:
| Age of husbands | 23 | 27 | 28 | 29 | 30 | 31 | 33 | 35 | 36 | 39 |
| Age of wives | 18 | 22 | 23 | 24 | 25 | 26 | 28 | 29 | 30 | 32 |
Calculate the correlation coefficient for the following data.
| X | 25 | 18 | 21 | 24 | 27 | 30 | 36 | 39 | 42 | 48 |
| Y | 26 | 35 | 48 | 28 | 20 | 36 | 25 | 40 | 43 | 39 |
If the values of two variables move in same direction then the correlation is said to be
If the values of two variables move in the opposite direction then the correlation is said to be
From the following data, N = 11, ∑X = 117, ∑Y = 260, ∑X2 = 1313, ∑Y2 = 6580, ∑XY = 2827 the correlation coefficient is
Scatter diagram of the variate values (X, Y) give the idea about
The value of the coefficient of correlation r lies between:
Define Correlation.
