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तमिलनाडु बोर्ड ऑफ सेकेंडरी एज्युकेशनएचएससी वाणिज्य कक्षा १२

The value of the coefficient of correlation r lies between:

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प्रश्न

The value of the coefficient of correlation r lies between:

विकल्प

  • 0 and 1

  • -1 and 0

  • -1 and +1

  • -0.5 and +0.5

MCQ
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उत्तर

-1 and +1

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Correlation
  क्या इस प्रश्न या उत्तर में कोई त्रुटि है?
अध्याय 12: Introduction to Statistical Methods and Econometrics - Model Questions [पृष्ठ २७९]

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सामाचीर कलवी Economics [English] Class 12 TN Board
अध्याय 12 Introduction to Statistical Methods and Econometrics
Model Questions | Q 8. | पृष्ठ २७९

संबंधित प्रश्न

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

Example for positive correlation is


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


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 which influences the values or is used for prediction is called


If two variables moves in decreasing direction then the correlation 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:


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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