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प्रश्न
Define Correlation.
उत्तर
Correlation is a statistical device that helps to analyze the covariation of two or more variables. Sir Francis Galton, is responsible for the calculation of the correlation coefficient.
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संबंधित प्रश्न
In the following data one of the value of y is missing. Arithmetic means of x and y series are 6 and 8 respectively. `(sqrt(2) = 1.4142)`
x | 6 | 2 | 10 | 4 | 8 |
y | 9 | 11 | ? | 8 | 7 |
Estimate missing observation.
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 |
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 |
If the values of two variables move in the opposite direction then the correlation is said to be
Correlation co-efficient lies between
The correlation coefficient from the following data N = 25, ∑X = 125, ∑Y = 100, ∑X2 = 650, ∑Y2 = 436, ∑XY = 520
From the following data, N = 11, ∑X = 117, ∑Y = 260, ∑X2 = 1313, ∑Y2 = 6580, ∑XY = 2827 the correlation coefficient is
The correlation coefficient is
The variable which influences the values or is used for prediction is called
The person suggested a mathematical method for measuring the magnitude of linear relationship between two variables say X and Y is
If r = – 1, then correlation between the variables
The coefficient of correlation describes
Find the coefficient of correlation for the following data:
X | 35 | 40 | 60 | 79 | 83 | 95 |
Y | 17 | 28 | 30 | 32 | 38 | 49 |
Calculate the coefficient of correlation from the following data:
∑X = 50, ∑Y = – 30, ∑X2 = 290, ∑Y2 = 300, ∑XY = – 115, N = 10
Calculate the correlation coefficient from the data given below:
X | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Y | 9 | 8 | 10 | 12 | 11 | 13 | 14 | 16 | 15 |
A measure of the strength of the linear relationship that exists between two variables is called: