Let X and Y be random variables with respective means μx and μy, respective variances and o, and correlation coefficient p. Fit the line Y = a + bx by the method of least squares to the probability distribution by minimizing the expectation K(a, b) = E[(Y — a – bX)²] with respect to a and b. Your final answer must be two expressions, one for â and another one for 6. Please show all your work and simplify them as much as possible.

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Let X and Y be random variables with respective means μx and μy, respective variances and o, and
correlation coefficient p. Fit the line Y = a +bX by the method of least squares to the probability
distribution by minimizing the expectation
K(a, b) = E[(Y− a − bX)²]
with respect to a and b.
Your final answer must be two expressions, one for â and another one for 1.
Please show all your work and simplify them as much as possible.
Transcribed Image Text:Let X and Y be random variables with respective means μx and μy, respective variances and o, and correlation coefficient p. Fit the line Y = a +bX by the method of least squares to the probability distribution by minimizing the expectation K(a, b) = E[(Y− a − bX)²] with respect to a and b. Your final answer must be two expressions, one for â and another one for 1. Please show all your work and simplify them as much as possible.
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