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Example for positive correlation is
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If the values of two variables move in same direction then the correlation is said to be
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If the values of two variables move in the opposite direction then the correlation is said to be
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Correlation co-efficient lies between
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If r(X,Y) = 0 the variables X and Y are said to be
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The correlation coefficient from the following data N = 25, ∑X = 125, ∑Y = 100, ∑X2 = 650, ∑Y2 = 436, ∑XY = 520
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From the following data, N = 11, ∑X = 117, ∑Y = 260, ∑X2 = 1313, ∑Y2 = 6580, ∑XY = 2827 the correlation coefficient is
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The correlation coefficient is
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The variable whose value is influenced (or) is to be predicted is called
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The variable which influences the values or is used for prediction is called
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The correlation coefficient
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Scatter diagram of the variate values (X, Y) give the idea about
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If two variables moves in decreasing direction then the correlation is
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The person suggested a mathematical method for measuring the magnitude of linear relationship between two variables say X and Y is
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If r = – 1, then correlation between the variables
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The coefficient of correlation describes
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If Cov(x, y) = – 16.5, `sigma_"x"^2` = 2.89, `sigma_"y"^2` = 100. Find correlation coefficient.
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Find the coefficient of correlation for the following data:
| X | 35 | 40 | 60 | 79 | 83 | 95 |
| Y | 17 | 28 | 30 | 32 | 38 | 49 |
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Calculate the coefficient of correlation from the following data:
∑X = 50, ∑Y = – 30, ∑X2 = 290, ∑Y2 = 300, ∑XY = – 115, N = 10
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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 |
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