the two lines of regression meet at
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There are two lines of regression. Both these lines are known to intersect at a specific point [ xˉ, yˉ]. Here the variables under consideration are x and y. As per this property, the intersection of both the lines of regression i.e. of y on x and x on y is [ xˉ, yˉ].
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Step-by-step explanation:
Let there be two variables: x & y. If y depends on x, then the result comes in the form of simple regression. Furthermore, we name the variables x and y as:
y – Regression or Dependent Variable or Explained Variable
x – Independent Variable or Predictor or Explanator
Therefore, if we use a simple linear regression model where y depends on x, then the regression line of y on x is:
y = a + bx
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