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In Method of Concurrent Deviations, only the directions of change (Positive direction / Negative direction) in the variables are taken into account for calculation of
- a)coefficient of S.D
- b)coefficient of regression.
- c)coefficient of correlation
- d)none
Correct answer is option 'C'. Can you explain this answer?
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Most Upvoted Answer
In Method of Concurrent Deviations, only the directions of change (Pos...
Explanation:
Method of Concurrent Deviations is a statistical method used for the calculation of correlation coefficient between two variables. This method takes into account only the directions of change (Positive direction / Negative direction) in the variables for the calculation of coefficient of correlation.
Coefficient of correlation measures the degree of association or relationship between two variables. The value of coefficient of correlation ranges from -1 to +1. A value of -1 indicates a perfect negative correlation, 0 indicates no correlation, and +1 indicates a perfect positive correlation.
In Method of Concurrent Deviations, the calculation of coefficient of correlation involves the following steps:
1. Calculate the deviations of each variable from their respective means.
2. Determine the direction of change (Positive direction / Negative direction) for each deviation.
3. Multiply the deviations of the two variables that have the same direction of change.
4. Add up the products obtained in step 3.
5. Divide the sum obtained in step 4 by the product of the standard deviations of the two variables.
The coefficient of correlation obtained using Method of Concurrent Deviations is known as the Coefficient of Concurrent Deviation or Coefficient of Correlation by Signs.
Conclusion:
In conclusion, the Method of Concurrent Deviations is a statistical method used for the calculation of correlation coefficient between two variables. This method takes into account only the directions of change (Positive direction / Negative direction) in the variables for the calculation of coefficient of correlation. The coefficient of correlation obtained using Method of Concurrent Deviations is known as the Coefficient of Concurrent Deviation or Coefficient of Correlation by Signs.
Method of Concurrent Deviations is a statistical method used for the calculation of correlation coefficient between two variables. This method takes into account only the directions of change (Positive direction / Negative direction) in the variables for the calculation of coefficient of correlation.
Coefficient of correlation measures the degree of association or relationship between two variables. The value of coefficient of correlation ranges from -1 to +1. A value of -1 indicates a perfect negative correlation, 0 indicates no correlation, and +1 indicates a perfect positive correlation.
In Method of Concurrent Deviations, the calculation of coefficient of correlation involves the following steps:
1. Calculate the deviations of each variable from their respective means.
2. Determine the direction of change (Positive direction / Negative direction) for each deviation.
3. Multiply the deviations of the two variables that have the same direction of change.
4. Add up the products obtained in step 3.
5. Divide the sum obtained in step 4 by the product of the standard deviations of the two variables.
The coefficient of correlation obtained using Method of Concurrent Deviations is known as the Coefficient of Concurrent Deviation or Coefficient of Correlation by Signs.
Conclusion:
In conclusion, the Method of Concurrent Deviations is a statistical method used for the calculation of correlation coefficient between two variables. This method takes into account only the directions of change (Positive direction / Negative direction) in the variables for the calculation of coefficient of correlation. The coefficient of correlation obtained using Method of Concurrent Deviations is known as the Coefficient of Concurrent Deviation or Coefficient of Correlation by Signs.
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Community Answer
In Method of Concurrent Deviations, only the directions of change (Pos...
Concurrent Deviation is the method to calculate the direction change between two variables
The formula itself derives as:
R = +- √+- 2C - n ÷ n
where R = cofficient of concurrent deviations.
C = number of concurrent deviations.
n = pairs of deviations compared.
thus, conclusion as per the formula arrives to the answer that method of concurrent deviations are taken into account for the calculation of (R) i.e coefficient of correlation.
Hence, Option C is the answer.
The formula itself derives as:
R = +- √+- 2C - n ÷ n
where R = cofficient of concurrent deviations.
C = number of concurrent deviations.
n = pairs of deviations compared.
thus, conclusion as per the formula arrives to the answer that method of concurrent deviations are taken into account for the calculation of (R) i.e coefficient of correlation.
Hence, Option C is the answer.
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In Method of Concurrent Deviations, only the directions of change (Positive direction / Negative direction) in the variables are taken into account for calculation ofa)coefficient of S.Db)coefficient of regression.c)coefficient of correlationd)noneCorrect answer is option 'C'. Can you explain this answer?
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