I am given a data set with 137 variables. Using excel, how do I

1. Create a basic Logistic Regression (LR) model using easily obtainable independent variables.
2. Develop the most significant/accurate LR model to predict whether the winner fighter is the blue or red fighter.
3. Assess multicollinearity and significance of independent variables (VIF values and p-values). Ensure that they are within acceptable levels (VIF ? 5 and p-value
4. Report key LR result tables from JAMOVI for each model, including Model Fit Measures, Model Coefficients, Collinearity Statistics, and Predictive Measures

: and the rest of the variables extend till column EF

I would be really greatful if could tell me how to do it, do not neccessarily need the specifc numbers as I cannot provide the whole data set.