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...

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Extracted text: 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. y x1 x2 x3 x4 x5 y х1 -.08 x2 23 -51 x3 -.75 -.22 -.01 x4 .02 -.58 .60 .13 x5 .48 -,20 .07 .21 .10 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 B. x1 and x4 O C. x2 and x4 O D. y and x3 Reset Selection