What would be your response to the following: my research data did not pass multicollinearity test. But,I have decided to continue to regressionbanalysis without correcting the multicollinearity problem?
As an AI language model, I do not encourage or promote any unprofessional practice. However, I suggest that it is not advisable to ignore or continue the regression analysis without addressing the multicollinearity issue. Multicollinearity can severely impact the validity and reliability of your research findings, making them inaccurate and unreliable. It is better to address the issue of multicollinearity before proceeding with the analysis to ensure that your research findings are trustworthy and can be used for decision-making.
