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Question
Example for positive correlation is
Options
Income and expenditure
Price and demand
Repayment period and EMI
Weight and Income
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Solution
Income and expenditure
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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 |
Calculate the coefficient of correlation between X and Y series from the following data.
| Description | X | Y |
| Number of pairs of observation | 15 | 15 |
| Arithmetic mean | 25 | 18 |
| Standard deviation | 3.01 | 3.03 |
| Sum of squares of deviation from the arithmetic mean | 136 | 138 |
Summation of product deviations of X and Y series from their respective arithmetic means is 122.
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 from the following data N = 25, ∑X = 125, ∑Y = 100, ∑X2 = 650, ∑Y2 = 436, ∑XY = 520
The variable whose value is influenced (or) is to be predicted is called
The variable which influences the values or is used for prediction is called
If two variables moves in decreasing direction then the correlation is
Find the coefficient of correlation for the following data:
| X | 35 | 40 | 60 | 79 | 83 | 95 |
| Y | 17 | 28 | 30 | 32 | 38 | 49 |
If both variables X and Y increase or decrease simultaneously, then the coefficient of correlation will be:
