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Define Correlation. - Economics

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प्रश्न

Define Correlation.

परिभाषा
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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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Correlation
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अध्याय 12: Introduction to Statistical Methods and Econometrics - Model Questions [पृष्ठ २८०]

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सामाचीर कलवी Economics [English] Class 12 TN Board
अध्याय 12 Introduction to Statistical Methods and Econometrics
Model Questions | Q 25. | पृष्ठ २८०

संबंधित प्रश्न

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

Correlation co-efficient lies between


The correlation coefficient from the following data N = 25, ∑X = 125, ∑Y = 100, ∑X2 = 650, ∑Y2 = 436, ∑XY = 520


The correlation coefficient is


The variable which influences the values or is used for prediction is called


If two variables moves in decreasing direction then the correlation is


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


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:


If both variables X and Y increase or decrease simultaneously, then the coefficient of correlation will be:


The value of the coefficient of correlation r lies between:


State and explain the different kinds of Correlation.


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