Regression lines: "y=-\\frac{1}{4}y+\\frac{19}{12},\\;\\;x=-\\frac{1}{3}y+\\frac{46}{9}."
i) "r=\\pm \\sqrt{b_{xy}*b_{yx}}=\\pm \\sqrt{(-\\frac{1}{4})(-\\frac{1}{3})}=\\pm \\frac{\\sqrt{3}}{6}".
But regression coefficient are negative, so "r=-\\frac{\\sqrt{3}}{6}".
ii) Since the point "(\\bar x,\\bar y)" lies on the both regression lines, we get:
"3\\bar x+12\\bar y=19, \\;\\;3\\bar y+9\\bar x=46"
Solving this system of equation, we have: "\\bar x=5,\\;\\bar y=\\frac{1}{3}."
iii) "\\frac{V(x)}{V(y)}=\\frac{b_{xy}}{b_{yx}}=\\frac{\\frac{1}{4}}{\\frac{1}{3}}=\\frac{3}{4}."
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8x-4y=25 and 2x-y=15 Find two regression lines
The correlation coefficient was computed in part i) of the question, namely r= - sqrt(3)/6. We do not know what p(x,y) means in your comment.
I want correlation of p(x, y)
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Calculate the standard deviation and mean deviation from mean if the frequency function f(x) has the form: f(x)={3+2x/18, for2
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