When Two Regression Lines Coincide Then R Is. When there is perfect positive or perfect negative correlation between the two variables r 1 the regression lines will coincide or overlap and will form a single regression line in that case. In case the variables are independent.
A Estimates b Parameters c Random errors d Variables MCQ 1456. Jul 22 2017 He compared two regression lines which are the level of a blood biomarker in function of age in males and females. Single line of Regression.
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Become identical when r 1 or 1 or in other words there is a perfect negative or positive correlation between the two variables under discussion. If r 1 tan θ 0 ie θ 0 since θ is acute ie two regression lines coincide. Y are uncorrelated then the lines of regression of y on x and x on y are given as. When r 1 then i.
