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Least square lines of regression give best possible estimates, when ρ(X,Y) is equal to
  • a)
    - 1 or 1
  • b)
    less than 1
  • c)
    greater than -1
  • d)
    1/ 2
Correct answer is option 'A'. Can you explain this answer?
Verified Answer
Least square lines of regression give best possible estimates, when&rh...
The least square lines of regression provide the best possible estimates when the correlation coefficient  ρ(X,Y) is equal to 1 or -1. This is because a correlation of ρ=1 or  ρ=−1 indicates a perfect linear relationship between X and Y, meaning one variable can be predicted exactly from the other using the regression line.
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Most Upvoted Answer
Least square lines of regression give best possible estimates, when&rh...
The relationship between the variables is linear and the data points are normally distributed around the regression line.
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Least square lines of regression give best possible estimates, whenρ(X,Y) is equal toa)- 1 or 1b)less than 1c)greater than -1d)1/ 2Correct answer is option 'A'. Can you explain this answer?
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