The table below shows the condition indices and variance decomposition proportions for the acetylene data using centered regressors. Use this information to diagnose multicollinearity in the data and draw appropriate conclusions.

Number Eigenvalue Condition Indices Variance Decomposition Proportions T H C TH TC HC T2 H2 C2 1 4.204797 1.00000o 0.0001 0.0024 0.0001 0.0004 0.0000 0.0004 0.0000 0.0001 0.0000 2 2.162611 1.394387 0.0000 0.0305 0.0000 0.0044 0.0000 0.0035 0.0000 0.0412 0.0000 3 1.138392 1.921882 0.0010 0.0000 0.0003 0.0002 0.0000 0.0001 0.0001 0.0139 0.0000 4 1.041305 2.009480 0.0000 0.2888 0.0000 0.0040 0.0000 0.0032 0.0000 0.0354 0.0000 5 0.384532 3.306788 0.0001 0.5090 0.0000 0.0023 0.0000 0.0029 0.0000 0.4425 0.0000 6 0.049510 9.215620 0.0034 0.0049 0.0000 0.0874 0.0000 0.0565 0.0033 0.0319 0.0071 7 0.013633 17.562062 0.0096 0.0051 0.0031 0.8218 0.0000 0.7922 0.0042 0.0001 0.0053 8 0.0051232 28.648589 0.1514 0.0936 0.1461 0.0773 0.0007 0.1210 0.0002 03526 0.0229 9 0.0000969 208.285 0.8343 0.0657 0.8504 0.0022 0.9993 0.0201 0.9920 0.0822 0.9646