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Coefficient of correlation between x&y is -0.38 . the linear relation between x and u , y and v are 3x 5v=25 and -8x -7v =44. what is the coefficient of correlation between u and v?
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Coefficient of correlation between x&y is -0.38 . the linear relation ...
However, I can explain how to calculate the coefficient of correlation between X and Y.
The coefficient of correlation between X and Y is a measure of the strength and direction of the linear relationship between the two variables. It is denoted by the symbol r and can take values between -1 and 1.
To calculate the coefficient of correlation, you need to first calculate the covariance between X and Y, which is given by the formula:
cov(X,Y) = Σ[(Xi - X̄)(Yi - Ȳ)] / (n-1)
where Xi and Yi are the individual values of X and Y, X̄ and Ȳ are the means of X and Y, and n is the number of data points.
Once you have calculated the covariance, you can then calculate the standard deviation of X and Y, which are given by the formulas:
σX = √[Σ(Xi - X̄)² / (n-1)]
and
σY = √[Σ(Yi - Ȳ)² / (n-1)]
Finally, the coefficient of correlation is given by the formula:
r = cov(X,Y) / (σX * σY)
If r is close to 1, it indicates a strong positive linear relationship between X and Y, while if r is close to -1, it indicates a strong negative linear relationship. If r is close to 0, it indicates no linear relationship between X and Y.
The coefficient of correlation between X and Y is a measure of the strength and direction of the linear relationship between the two variables. It is denoted by the symbol r and can take values between -1 and 1.
To calculate the coefficient of correlation, you need to first calculate the covariance between X and Y, which is given by the formula:
cov(X,Y) = Σ[(Xi - X̄)(Yi - Ȳ)] / (n-1)
where Xi and Yi are the individual values of X and Y, X̄ and Ȳ are the means of X and Y, and n is the number of data points.
Once you have calculated the covariance, you can then calculate the standard deviation of X and Y, which are given by the formulas:
σX = √[Σ(Xi - X̄)² / (n-1)]
and
σY = √[Σ(Yi - Ȳ)² / (n-1)]
Finally, the coefficient of correlation is given by the formula:
r = cov(X,Y) / (σX * σY)
If r is close to 1, it indicates a strong positive linear relationship between X and Y, while if r is close to -1, it indicates a strong negative linear relationship. If r is close to 0, it indicates no linear relationship between X and Y.
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Coefficient of correlation between x&y is -0.38 . the linear relation between x and u , y and v are 3x 5v=25 and -8x -7v =44. what is the coefficient of correlation between u and v?
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Coefficient of correlation between x&y is -0.38 . the linear relation between x and u , y and v are 3x 5v=25 and -8x -7v =44. what is the coefficient of correlation between u and v? for CA Foundation 2024 is part of CA Foundation preparation. The Question and answers have been prepared according to the CA Foundation exam syllabus. Information about Coefficient of correlation between x&y is -0.38 . the linear relation between x and u , y and v are 3x 5v=25 and -8x -7v =44. what is the coefficient of correlation between u and v? covers all topics & solutions for CA Foundation 2024 Exam. Find important definitions, questions, meanings, examples, exercises and tests below for Coefficient of correlation between x&y is -0.38 . the linear relation between x and u , y and v are 3x 5v=25 and -8x -7v =44. what is the coefficient of correlation between u and v?.
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