Page 2Page 2The equations given of the two regression lines are 2x + 3y - 6 = 0 and 5x + 7y - 12 = 0. Find: (a) Correlation coefficient (b) `sigma_x/sigma_y` We assume that 2x + 3y - 6 = 0 to be the line of regression of y on x. 2x + 3y - 6 = 0 ⇒ `x = - 3/2y + 3` ⇒ `"bxy" = - 3/2` 5x + 7y - 12 = 0 to be the line of regression of x on y. 5x + 7y - 12 = 0 ⇒ `y = - 5/7x + 12/7` ⇒ `"byx" = - 5/7` Now, r = `sqrt("bxy.byx") = sqrt(15/14)` byx = `(rσ_y)/(σ_x) = - 5/7, "bxy" = (rσ_x)/(σ_y) = - 3/2` ⇒ `(σ_x^2)/(σ_y^2) = (3/2)/(5/7)` ⇒ `(σ_x^2)/(σ_y^2) = 21/10` ⇒ `(σ_x)/(σ_y) = sqrt(21/10)`. Concept: Lines of Regression of X on Y and Y on X Or Equation of Line of Regression Is there an error in this question or solution?
Answer (Detailed Solution Below) Option 3 :
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Concept: The line of regression of y on x is given by: where byx is called the regression coefficient of y on x. Similarly, the line of regression of x on y is given by: wherebxy is called the regression coefficient of x on y. The correlation coefficient r2 = byx × bxy The two lines of regression intersect each other at Calculation: Given: Two regression lines are 6x + y = 30 and 3x + 2y = 25. As we know that, the two lines of regression intersect each other at By solving these two equations: 6x + y = 30 and 3x + 2y = 25 We get We can write 6x + y = 30 as line of regression of x on y: ------(1) By comparing equation (1), with line of regression of x on y which is given by: we get Similarly, we can write 3x + 2y = 25 as line of regression of y on x: ------(2) By comparing equation (2), with line of regression of x on y which is given by : we get As we know that, r2 = byx × bxy As we know that, sign of India’s #1 Learning Platform Start Complete Exam Preparation
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