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तामिळनाडू बोर्ड ऑफ सेकेंडरी एज्युकेशनएचएससी वाणिज्य इयत्ता १२

A measure of the strength of the linear relationship that exists between two variables is called: - Economics

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प्रश्न

A measure of the strength of the linear relationship that exists between two variables is called:

पर्याय

  • Slope

  • Intercept

  • Correlation coefficient

  • Regression equation

MCQ
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उत्तर

Correlation coefficient

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Correlation
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पाठ 12: Introduction to Statistical Methods and Econometrics - Model Questions [पृष्ठ २७८]

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सामाचीर कलवी Economics [English] Class 12 TN Board
पाठ 12 Introduction to Statistical Methods and Econometrics
Model Questions | Q 5. | पृष्ठ २७८

संबंधित प्रश्‍न

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 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 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 correlation coefficient is


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


Scatter diagram of the variate values (X, Y) give the idea about


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 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

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


Define Correlation.


State and explain the different kinds of Correlation.


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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