Correct Answer - Option 1 : 67.6 and 68.6
The given regression equations are:
y = 0.516x + 33.73 ⇒ 0.516 x – y = -33.73
x = 0.512 y + 32.52 ⇒ x – 0.512 y = 32.52
By solving the above two equations, we get
x = 67.6, y = 68.6
Important Points:
The line of regression of y on x is
\(y - \bar y = r \cdot \left( {\frac{{{\sigma _y}}}{{{\sigma _x}}}} \right)\left( {x - \bar x} \right)\)
The line of regression of x on y is
\(x - \bar x = r \cdot \left( {\frac{{{\sigma _x}}}{{{\sigma _y}}}} \right)\left( {y - \bar y} \right)\)
\(r\left( {\frac{{{\sigma _y}}}{{{\sigma _x}}}} \right)\) is called the regression co-efficient of y on x and is denoted by byx
\(r\left( {\frac{{{\sigma _x}}}{{{\sigma _y}\;}}} \right)\) is called the regression co-efficient of x on y and is denoted by bxy
If the line is in the form of y1 = m1 x1 + c1, then the regression co-efficient byx = m1
If the line is in the form of x2 = y2 m2 + c3, then the regression co-efficient bxy = m2
Correlation co-efficient \(\left( r \right) = \sqrt {{b_{yx}}{b_{xy}}}\)