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तामिळनाडू बोर्ड ऑफ सेकेंडरी एज्युकेशनएचएससी वाणिज्य इयत्ता १२

Define Correlation.

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प्रश्न

Define Correlation.

व्याख्या
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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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पाठ 12: Introduction to Statistical Methods and Econometrics - Model Questions [पृष्ठ २८०]

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

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 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

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 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

Example for positive correlation is


If the values of two variables move in same direction then the correlation is said to be


Correlation co-efficient lies between


If r(X,Y) = 0 the variables X and Y are said to be


From the following data, N = 11, ∑X = 117, ∑Y = 260, ∑X2 = 1313, ∑Y2 = 6580, ∑XY = 2827 the correlation coefficient is


The variable whose value is influenced (or) is to be predicted is called


The coefficient of correlation describes


If Cov(x, y) = – 16.5, `sigma_"x"^2` = 2.89, `sigma_"y"^2` = 100. Find correlation coefficient.


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


The value of the coefficient of correlation r lies between:


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

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