Advertisements
Advertisements
प्रश्न
The correlation coefficient from the following data N = 25, ∑X = 125, ∑Y = 100, ∑X2 = 650, ∑Y2 = 436, ∑XY = 520
विकल्प
0.667
− 0.006
– 0.667
0.70
Advertisements
उत्तर
0.667
Explanation:
r = `("N"sum"XY" - sum"X"sum"Y")/(sqrt("N"sum"X"^2 - (sum"X")^2) sqrt("N"sum"Y"^2 - (sum"Y")^2))`
= `(25(520) - 125 xx 100)/(sqrt(25 xx 650 - (125)^2) sqrt(25 xx 436 - (100)^2))`
= `(13000 - 12500)/(sqrt(16250 - 15625) sqrt(10900 - 10000))`
= `500/(sqrt625 sqrt900)`
= `500/(25 xx 30)`
= `2/3`
= 0.6666
= 0.667
APPEARS IN
संबंधित प्रश्न
If the values of two variables move in the opposite direction then the correlation is said to be
If r(X,Y) = 0 the variables X and Y are said to be
The correlation coefficient is
The variable which influences the values or is used for prediction is called
Scatter diagram of the variate values (X, Y) give the idea about
The coefficient of correlation describes
Calculate the correlation coefficient from the following data:
∑X = 125, ∑Y = 100, ∑X2 = 650, ∑Y2 = 436, ∑XY = 520, N = 25
If the points on the scatter diagram indicate that as one variable increases the other variable tends to decrease the value of r will be:
Define Correlation.
Calculate the Karl Pearson Correlation Co-efficient for the following data:
| Demand for Product X: | 23 | 27 | 28 | 29 |
30 |
31 | 33 | 35 | 36 | 39 |
| Sale of Product Y: | 18 | 22 | 23 | 24 | 25 | 26 | 28 | 29 | 30 | 32 |
