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Question: If the linear equations \[3x=2y-1\] and \[2x+3y+1=0\] are two lines of regression, then the coeffici...

If the linear equations 3x=2y13x=2y-1 and 2x+3y+1=02x+3y+1=0 are two lines of regression, then the coefficient of correlation will be:
1). 00
2). 1-1
3). 11
4). None of these

Explanation

Solution

First of all we will assume both the equations as equation (1)(1) and (2)(2) then multiply equation (1)(1) with 33 and (2)(2) with 22 then add both the equation to get the value of xx then put the value of xx in equation (1)(1) to get the value of yyafter that find out the regression of xx on yy and yy on xx to check the correct option.

Complete step-by-step solution:
The measure of the extent of relationship between two variables is shown by the correlation coefficient. The range of this coefficient lies between 1-1 to +1+1 .
Regression is a technique used for the modeling and analysis of numerical data. Regression can be used for prediction, estimation, hypothesis testing and many more things.
The linear regression line equation is written as: Y=a+bXY=a+bX where XX is plotted along xaxisx-axis and is an independent variable and YY is plotted along yaxisy-axis which is a dependent variable.
Dependent variable means the variable we wish to predict and independent variable means the variable that is used to explain the dependent variable.
Linear regression shows the linear relationship between two variables.
Correlation analysis is used to measure strength of the association of linear relationships between two variables.
Now according to the question:
We have given two lines of regression:
3x=2y13x=2y-1
3x2y+1=0\Rightarrow 3x-2y+1=0 assume it as equation (1)(1)
2x+3y+1=0\Rightarrow 2x+3y+1=0 assume it as equation (2)(2)
Now multiply equation (1)(1) with 33 and equation (2)(2) with 22 we will get:
9x6y+3=0\Rightarrow 9x-6y+3=0
4x+6y+2=0\Rightarrow 4x+6y+2=0
On adding both the equations we will get:
9x6y+3+4x+6y+2=0\Rightarrow 9x-6y+3+4x+6y+2=0
13x+5=0\Rightarrow 13x+5=0
13x=5\Rightarrow 13x=-5
x=513\Rightarrow x=\dfrac{-5}{13}
Put the value of xx in equation (1)(1)we will get the value of y:
3x2y+1=0\Rightarrow 3x-2y+1=0
3×(513)2y+1=0\Rightarrow 3\times (\dfrac{-5}{13})-2y+1=0
15132y+1=0\Rightarrow \dfrac{-15}{13}-2y+1=0
1526y+1313=0\Rightarrow \dfrac{-15-26y+13}{13}=0
226y=0\Rightarrow -2-26y=0
2=26y\Rightarrow -2=26y
y=113\Rightarrow y=-\dfrac{1}{13}
Hence x=513\overline{x}=\dfrac{-5}{13} and y=113\overline{y}=-\dfrac{1}{13}
Now let us suppose that the equation 3x=2y13x=2y-1 is regression equation of yy on xx
3x2y+1=0\Rightarrow 3x-2y+1=0
2y=3x1\Rightarrow -2y=-3x-1
y=32x12\Rightarrow y=\dfrac{-3}{-2}x-\dfrac{1}{-2}
y=12+32x\Rightarrow y=\dfrac{1}{2}+\dfrac{3}{2}x
Compare the equation from y=a+bxy=a+bx we will get a=12a=\dfrac{1}{2} and b=32b=\dfrac{3}{2}
As the equation is regression equation of yy on xx therefore byx=32{{b}_{yx}}=\dfrac{3}{2}
Now let us suppose the equation 2x+3y+1=02x+3y+1=0 is regression equation of xx on yy
2x+3y+1=0\Rightarrow 2x+3y+1=0
2x=3y1\Rightarrow 2x=-3y-1
x=32y12\Rightarrow x=-\dfrac{3}{2}y-\dfrac{1}{2}
Compare the equation from x=a+byx=a+by we will get a=12a=-\dfrac{1}{2} and b=32b=-\dfrac{3}{2}
As the equation is regression equation of xx on yy therefore bxy=32{{b}_{xy}}=-\dfrac{3}{2}
Here the values of bxy{{b}_{xy}} and byx{{b}_{yx}} are of opposite sign hence the regression is not possible.
Hence option (4)(4) is correct as the regression is not possible.

Note: Students must know that the regression coefficient is the slope of the regression line which is equal to the average change in the dependent variable for a unit change in the independent variable. The strength of the linear relationship increases as rr moves away from 00 .