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Hi, Question 26 of 50 You conduct a study in which you aim to determine which factors contribute significantly to workplace performance (y). You consider

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Question 26 of 50 You conduct a study in which you aim to determine which factors contribute significantly to workplace performance (y). You consider five potential predictors: x1, x2, x3, x4, x5. The table below is a correlation matrix that shows the correlation coefficients that can be calculated between all of the variables under investigation. x1 X2 X3 x4 x5 y x1 -.09 X2 -.20 -.85 x3 -.22 -.11 -.15 x4 -.28 -.07 .41 -.14 X5 .88 .15 .13 -.15 .01 If you were to subject these data to a stepwise multiple regression analysis, issues of multicollinearity may be most likely to arise between which set of variables? O A. y and x1 O B. x4 and x5 O C. y and x5 O D. x1 and x2 Reset Selection

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