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If I have variables x1,x2,x3,and x4 that have correlation coefficients −0.9,−0.5,0.5, and 0.9 to another variable y, what is the effect of choosing different combinations of them in a multivariate regression. Should I not use the negative ones (−0.9−0.9 and −0.5−0.5), or should I only use the most strongly correlated (ie −0.9−0.9 and 0.90.9)?

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closed as off-topic by Bob Jansen Apr 17 '16 at 0:09

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  • $\begingroup$ This is a statistics question but it's too basic for that website, I suggest you read up on multiple regression as it seems your global understanding of multiple regression is lacking. $\endgroup$ – Bob Jansen Apr 17 '16 at 0:09
  • $\begingroup$ I'm voting to close this question as off-topic because more of a stats question but quite basic. $\endgroup$ – Bob Jansen Apr 17 '16 at 0:09