The equations of two Regressions lines are
7π₯ β 16π¦ + 9 = 0 and 5π¦ β 4π₯ β 3 = 0.
Find the coefficient of correlation and the means of x and y
"7\ud835\udc65 \u2212 16\ud835\udc66 + 9 = 0 \\ ...(i)\n\n\\\\5\ud835\udc66 \u2212 4\ud835\udc65 \u2212 3 = 0\\ ...(ii)"
From (i)
"16y=7x+9\n\\\\\\Rightarrow y=\\dfrac7{16}x+\\dfrac9{16}" ...(iii)
From (ii)
"5y=4x+3\n\\\\\\Rightarrow y=\\dfrac45x+\\dfrac35" ...(iv)
On equating these values of y,
"\\dfrac7{16}x+\\dfrac9{16}=\\dfrac45x+\\dfrac35\n\\\\ \\Rightarrow x=-\\dfrac{3}{29}"
Put this in (iii), we get,
"y=\\dfrac{15}{29}"
So, mean of x "=-\\dfrac3{29}"
And mean of y "=\\dfrac{15}{29}"
Next, slope of 1st line "=b_{yx}=\\dfrac7{16}" [From (iii)]
And slope of 2nd line "=b_{xy}=\\dfrac4{5}" [From (iv)]
Then, "r^2=b_{yx}b_{xy}=\\dfrac7{16}\\times \\dfrac4{5}=\\dfrac7{20}"
So, "r=\\pm\\sqrt{\\dfrac7{20}}=\\pm0.592"
But r has same sign as "b_{yx},b_{xy}" , so "r=0.592"
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