A. A processing line can combine unites of inputs(X) to produce units of output(Y) such that there • is a linear relationship between X and Y. Given the values of X and Y as follow: 7 5 2 Y 8 14 12 (1) Formulate a simple linear regression equation. (Hi) Determine the value of the correlation coefficient and interpret your result. (ii) Find the value of the coefficient of determination and interpret your results. (iv) What will be the output level if the input is 20? (v) What proportion of the variation in output is not due to X? (vi) Using a = 0.01 test whether the correlation between X and Y are positively linearly correlated. 6.
A. A processing line can combine unites of inputs(X) to produce units of output(Y) such that there • is a linear relationship between X and Y. Given the values of X and Y as follow: 7 5 2 Y 8 14 12 (1) Formulate a simple linear regression equation. (Hi) Determine the value of the correlation coefficient and interpret your result. (ii) Find the value of the coefficient of determination and interpret your results. (iv) What will be the output level if the input is 20? (v) What proportion of the variation in output is not due to X? (vi) Using a = 0.01 test whether the correlation between X and Y are positively linearly correlated. 6.
MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Please solve iv,v and vi only thanks
![A. A processing line can combine unites of inputs(X) to produce units of output(Y) such that
there
• is a linear relationship between X and Y. Given the values of X and Y as follow:
7
5
2
Y
8
14
12
(1) Formulate a simple linear regression equation.
(Hi) Determine the value of the correlation coefficient and interpret your result.
(ii) Find the value of the coefficient of determination and interpret your results.
(iv) What will be the output level if the input is 20?
(v) What proportion of the variation in output is not due to X?
(vi) Using a = 0.01 test whether the correlation between X and Y are positively linearly
correlated.
6.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F0e57c386-33f8-4089-97f3-8ad271106ddc%2F1cd0e05b-c4f9-4f05-b3d2-87ce02548c2d%2Fvsnan6a.jpeg&w=3840&q=75)
Transcribed Image Text:A. A processing line can combine unites of inputs(X) to produce units of output(Y) such that
there
• is a linear relationship between X and Y. Given the values of X and Y as follow:
7
5
2
Y
8
14
12
(1) Formulate a simple linear regression equation.
(Hi) Determine the value of the correlation coefficient and interpret your result.
(ii) Find the value of the coefficient of determination and interpret your results.
(iv) What will be the output level if the input is 20?
(v) What proportion of the variation in output is not due to X?
(vi) Using a = 0.01 test whether the correlation between X and Y are positively linearly
correlated.
6.
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