Negative correlation but positive beta value












1












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I got a negative correlation (Pearson correlation) between two variables but a positive beta coefficient of one variable predicting the other in multiple hierarchical linear regression. Is it acceptable? Please justify it with research evidence and literature










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    In addition to the worthy answer by @PeterFlom, you might find my answer to this question illuminating: stats.stackexchange.com/questions/89547/…
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    yesterday






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1












$begingroup$


I got a negative correlation (Pearson correlation) between two variables but a positive beta coefficient of one variable predicting the other in multiple hierarchical linear regression. Is it acceptable? Please justify it with research evidence and literature










share|cite|improve this question









New contributor




Aiman Rahim is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.







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  • 1




    $begingroup$
    In addition to the worthy answer by @PeterFlom, you might find my answer to this question illuminating: stats.stackexchange.com/questions/89547/…
    $endgroup$
    – Alexis
    yesterday






  • 1




    $begingroup$
    Also: Welcome to CV!
    $endgroup$
    – Alexis
    yesterday














1












1








1





$begingroup$


I got a negative correlation (Pearson correlation) between two variables but a positive beta coefficient of one variable predicting the other in multiple hierarchical linear regression. Is it acceptable? Please justify it with research evidence and literature










share|cite|improve this question









New contributor




Aiman Rahim is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.







$endgroup$




I got a negative correlation (Pearson correlation) between two variables but a positive beta coefficient of one variable predicting the other in multiple hierarchical linear regression. Is it acceptable? Please justify it with research evidence and literature







regression correlation






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Aiman Rahim is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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edited 2 days ago









Ferdi

3,86742355




3,86742355






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asked 2 days ago









Aiman RahimAiman Rahim

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New contributor





Aiman Rahim is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.






Aiman Rahim is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.








  • 1




    $begingroup$
    In addition to the worthy answer by @PeterFlom, you might find my answer to this question illuminating: stats.stackexchange.com/questions/89547/…
    $endgroup$
    – Alexis
    yesterday






  • 1




    $begingroup$
    Also: Welcome to CV!
    $endgroup$
    – Alexis
    yesterday














  • 1




    $begingroup$
    In addition to the worthy answer by @PeterFlom, you might find my answer to this question illuminating: stats.stackexchange.com/questions/89547/…
    $endgroup$
    – Alexis
    yesterday






  • 1




    $begingroup$
    Also: Welcome to CV!
    $endgroup$
    – Alexis
    yesterday








1




1




$begingroup$
In addition to the worthy answer by @PeterFlom, you might find my answer to this question illuminating: stats.stackexchange.com/questions/89547/…
$endgroup$
– Alexis
yesterday




$begingroup$
In addition to the worthy answer by @PeterFlom, you might find my answer to this question illuminating: stats.stackexchange.com/questions/89547/…
$endgroup$
– Alexis
yesterday




1




1




$begingroup$
Also: Welcome to CV!
$endgroup$
– Alexis
yesterday




$begingroup$
Also: Welcome to CV!
$endgroup$
– Alexis
yesterday










1 Answer
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There is no reason that this is not possible. It follows from the nature of multiple regression, which controls for variables, which correlation does not do. See any decent book on multiple regression.






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    Thank you for the helpful insight
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    2 days ago











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1 Answer
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active

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1 Answer
1






active

oldest

votes









active

oldest

votes






active

oldest

votes









5












$begingroup$

There is no reason that this is not possible. It follows from the nature of multiple regression, which controls for variables, which correlation does not do. See any decent book on multiple regression.






share|cite|improve this answer









$endgroup$













  • $begingroup$
    Thank you for the helpful insight
    $endgroup$
    – Aiman Rahim
    2 days ago
















5












$begingroup$

There is no reason that this is not possible. It follows from the nature of multiple regression, which controls for variables, which correlation does not do. See any decent book on multiple regression.






share|cite|improve this answer









$endgroup$













  • $begingroup$
    Thank you for the helpful insight
    $endgroup$
    – Aiman Rahim
    2 days ago














5












5








5





$begingroup$

There is no reason that this is not possible. It follows from the nature of multiple regression, which controls for variables, which correlation does not do. See any decent book on multiple regression.






share|cite|improve this answer









$endgroup$



There is no reason that this is not possible. It follows from the nature of multiple regression, which controls for variables, which correlation does not do. See any decent book on multiple regression.







share|cite|improve this answer












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answered 2 days ago









Peter FlomPeter Flom

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76.4k11107212












  • $begingroup$
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    2 days ago


















  • $begingroup$
    Thank you for the helpful insight
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    – Aiman Rahim
    2 days ago
















$begingroup$
Thank you for the helpful insight
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– Aiman Rahim
2 days ago




$begingroup$
Thank you for the helpful insight
$endgroup$
– Aiman Rahim
2 days ago










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