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How do I find VIF of operating revenue? Observation Reference Total Quarter Operating Net profit Total assets Time Q1 Q2 Q3 Q4 period liabilities revenue

How do I find VIF of operating revenue?

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Observation Reference Total Quarter Operating Net profit Total assets Time Q1 Q2 Q3 Q4 period liabilities revenue Regression result of Net profit (Y) 1 Q1 2011 Q1 4178 272681 523127 45455 SUMMARY OUTPUT 2 Q2 2011 Q2 2844 268637 527757 4895 3 Q3 2011 Q3 2761 275273 542557 50856 Regression Statistics 4 04 2011 04 408 285977 556734 59925 Multiple R 0.798088 5 01 2012 Q1 3426 281774 557239 57535 R Square 0.636944 5 4 CO V G UI A W NH 6 02 2012 Q2 -118 276781 557120 41149 Adjusted R Square 0.54618 7 Q3 2012 Q3 .889 282685 555096 39638 Standard Error 3507.153 8 04 2012 Q4 -2327 284442 56625 39806 Observations 36 9 Q1 2013 Q1 1655 305175 590460 38262 10 Q2 2013 Q2 1707 306113 597471 39938 ANOVA 11 Q3 2013 Q3 2802 315089 615212 43347 11 df SS MS F Significance F 12 04 2013 04 3833 319180 623643 41657 12 Regression 7 6.04E+08 86317211 7.017588 7.277878-05 D D H O O O H O O O H O O O H O O O H O O O HO 13 Q1 2014 Q1 2773 330884 641561 48564 Residual 28 3.44E+08 12300125 14 Q2 2014 Q2 516 333919 647314 46328 14 Total 35 9.49E+08 15 Q3 2014 1629 348507 663182 46166 15 VIF 16 04 2014 Q4 -7797 357517 563271 40648 16 Coefficient andard Err t Stat P-value Lower 95% Upper 95% 17 Q1 2015 01 9453 368437 665657 30196 17 Intercept 11769.83 16577.7 0.70998 0.483588 -22188.05056 45727.71 18 Q2 2015 Q2 -6416 367771 662663 30689 18 Total liabilities -0.24997 0.095664 -2.61303 0.014274 -0.445931044 -0.05401 19 Q3 2015 Q3 18818 367139 647082 28421 19 Total assets 0.074042 0.051397 1.440595 0.160789 -0.031239627 0.179324 20 04 2015 04 -14080 364422 531959 28572 20 Operating revenue 0.259939 0.107855 2.410076 0.022766 0.039007784 0.480869 21 Q1 2016 01 3624 365321 636061 22130 21 Time 686.457 200.5228 3.423336 0.001923 275.704617 1097.209 22 Q2 2016 Q2 7685 364883 539692 24221 22 Q1 4817.781 1672.035 2.881387 0.007517 1392.772193 8242.791 23 Q3 2016 Q3 3278 370372 646651 26738 23 Q2 5028.242 1685.652 2.982965 0.005859 1575.339583 8481.144 24 04 2016 04 4441 374342 652066 31126 24 03 2967.128 1664.243 1.78287 0.085454 -441.9190332 6376.176

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