(i) Since two regression lines always intersect at a point representing mean values
Then
(ii) To find the given regression equations in such a way that the coefficient of dependent variable is less than one at least in one equation. So
That is
"Y=X"
That is
Hence coefficient of correlation r between x and y is given by:
(iii) To determine the standard deviation of y , consider the formula:
"{\\sigma_x}^2=E[X^2]-(E[X])^2=2-(1)^2=1"
"\\sigma_x=1"
"\\sigma_y={1*1 \\over 0.5}=2"
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