Question
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=2y−1 and 2x+3y+1=0 are two lines of regression, then the coefficient of correlation will be:
1). 0
2). −1
3). 1
4). None of these
Solution
First of all we will assume both the equations as equation (1) and (2) then multiply equation (1) with 3 and (2) with 2 then add both the equation to get the value of x then put the value of x in equation (1) to get the value of yafter that find out the regression of x on y and y on x 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 to +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+bX where X is plotted along x−axis and is an independent variable and Y is plotted along y−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=2y−1
⇒3x−2y+1=0 assume it as equation (1)
⇒2x+3y+1=0 assume it as equation (2)
Now multiply equation (1) with 3 and equation (2) with 2 we will get:
⇒9x−6y+3=0
⇒4x+6y+2=0
On adding both the equations we will get:
⇒9x−6y+3+4x+6y+2=0
⇒13x+5=0
⇒13x=−5
⇒x=13−5
Put the value of x in equation (1)we will get the value of y:
⇒3x−2y+1=0
⇒3×(13−5)−2y+1=0
⇒13−15−2y+1=0
⇒13−15−26y+13=0
⇒−2−26y=0
⇒−2=26y
⇒y=−131
Hence x=13−5 and y=−131
Now let us suppose that the equation 3x=2y−1 is regression equation of y on x
⇒3x−2y+1=0
⇒−2y=−3x−1
⇒y=−2−3x−−21
⇒y=21+23x
Compare the equation from y=a+bx we will get a=21 and b=23
As the equation is regression equation of y on x therefore byx=23
Now let us suppose the equation 2x+3y+1=0 is regression equation of x on y
⇒2x+3y+1=0
⇒2x=−3y−1
⇒x=−23y−21
Compare the equation from x=a+by we will get a=−21 and b=−23
As the equation is regression equation of x on y therefore bxy=−23
Here the values of bxy and byx are of opposite sign hence the regression is not possible.
Hence option (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 r moves away from 0 .