Home
Class 12
MATHS
If 2x+3y-1=0 is the regression line of y...

If `2x+3y-1=0` is the regression line of y on x, then `b_(yx)` is ……………..

Text Solution

AI Generated Solution

The correct Answer is:
To find the regression coefficient \( b_{yx} \) from the given regression line equation \( 2x + 3y - 1 = 0 \), we can follow these steps: ### Step 1: Rearrange the equation to express \( y \) in terms of \( x \). Starting with the equation: \[ 2x + 3y - 1 = 0 \] We can rearrange it to isolate \( y \): \[ 3y = -2x + 1 \] ### Step 2: Solve for \( y \). Now, divide each term by 3 to solve for \( y \): \[ y = -\frac{2}{3}x + \frac{1}{3} \] ### Step 3: Identify the slope of the regression line. In the equation \( y = mx + c \), \( m \) represents the slope. From our equation: \[ y = -\frac{2}{3}x + \frac{1}{3} \] we can see that the slope \( m \) is: \[ m = -\frac{2}{3} \] ### Step 4: Conclude the value of \( b_{yx} \). The slope of the regression line \( b_{yx} \) is equal to the slope we found: \[ b_{yx} = -\frac{2}{3} \] Thus, the value of \( b_{yx} \) is: \[ \boxed{-\frac{2}{3}} \] ---
Promotional Banner

Topper's Solved these Questions

  • CORRELATION AND REGRESSION

    ML KHANNA|Exercise PROBLEM SET (1) (TRUE AND FALSE)|9 Videos
  • CORRELATION AND REGRESSION

    ML KHANNA|Exercise SELF ASSESSMENT TEST |10 Videos
  • CORRELATION AND REGRESSION

    ML KHANNA|Exercise PROBLEM SET (1) TRUE/FALSE|6 Videos
  • CONCEPTS OF SET THEORY

    ML KHANNA|Exercise Self Assessment Test|13 Videos
  • DEFINITE INTEGRAL

    ML KHANNA|Exercise Miscellaneous Questions (Assertion/Reason)|1 Videos

Similar Questions

Explore conceptually related problems

b_(yx) is the ….. of regression line of y on x

If the regression equation x on y is 3x+2y=26 then b_(xy) equals to

If y = 5 - 2.8x and x = 3 – 0.5y be the regression lines ,then the value of b_(yx) is

State True or False: y = 5 + 2.8x and x = 3 + 0.5y be the regression lines of y on x and x on y respectively ,then b_(yx) = - 0.5

Among the given regression lines 6x+y-31=0 and 3x+2y- 26=0 ,the regression line of x on y is…........

Mean of x = barx = square Mean y = bary = square b_(xy)=(square)/(square) b_(yx)=(square)/(square) Regression equation of x on y is x-barx = b_(xy )(y-bary) :. Regression equation of x on y is square Regression equation of y on x is y - bary = b_(yx) (x - barx) :. Regression equation of y on x is square

The regression equation of x on y is 40x-18y = 214… (i) The regression equation of y on x is 8x -10y +66 =0….. (ii) Solving equations i and ii, barx=square bary=square :. b_(yx) = (square)/(square) :. b_(xy) = (square)/(square) :. r = square

The equations of the two lines of regression are 3x+y=5 and 2x+3y=6. Find (a) The regression line of Y and X. (b) mean values of x and y (c) correlation coefficient x and y (d) the angle between the regression lines.

Two regression lines are given as 3x-4y+8=0 and 4x-3y-1 = 0 Consider the following statements : 1. The regression line of y on x is y = (3)/(4) x +2 2. The regression line of x on y is x = (3)/(4) y + (1)/(4) . Which of the above statements is/are correct ?