If two regression equations are 3x + 2y=26 and 6x + y=31 the ratio variance of y variance of x is

The equations of two lines of Regression are 3x + 2y = 26 , 6x + y = 31 Find

written 4.5 years ago by teamques10 ★ 33k •   modified 9 months ago

(i) Mean of x

(ii) Coefficient of correlation between x & y

(iii) σ$_y$ if σ$_x$ = 3

1 Answer

(i) Means $\bar{x}$ and $\bar{y}$ satisfy the equation of lines of regression.

$ \therefore 3\bar{x} + 2\bar{y} = 26 \\ 6\bar{x} + \bar{y} = 31 $

Solving, we get, $\bar{x}$ = 4 and $\bar{y}$ = 7

(ii) $ 6x + y = 31 \\ x = -\frac{1}{6}y + \frac{31}{6} \hspace{0.5cm} [b_{xy} = -\frac{1}{6}] \\ y = - \frac{3}{2}x + \frac{26}{2} \\ y = - \frac{3}{2}x + 13 \hspace{0.5cm} [b_{yx} = -\frac{3}{2}] $

$ \therefore r^2 = b_{yx} \times b_{xy} = \frac{1}{4} \\ r = \frac{1}{2}, -\frac{1}{2} \implies r = 0.5, -0.5 $

Since b$_{xy}$ and b$_{yx}$ are both negative, r is negative. Therefore, r = -0.5

(iii) $ b_{yx} = r \frac{\sigma_y}{\sigma_x} \\ -\frac{3}{2} = -\frac{1}{2} (\frac{\sigma_y}{3}) \\ \sigma_y = 9 $

Please log in to add an answer.


How do you find a two regression equation?

The functionai relation developed between the two correlated variables are called regression equations. The regression equation of x on y is: (X – X̄) = bxy (Y – Ȳ) where bxy-the regression coefficient of x on y.

How many lines of regression will be there if the correlation coefficient between two random variables X and Y is perfect?

There are two lines of regression.

How do you find the regression coefficient?

A regression coefficient is the same thing as the slope of the line of the regression equation. The equation for the regression coefficient that you'll find on the AP Statistics test is: B1 = b1 = Σ [ (xi – x)(yi – y) ] / Σ [ (xi – x)2]. “y” in this equation is the mean of y and “x” is the mean of x.