I would like to draw a nomogram for a logistic regression in R. Unfortunately, I do not have the full dataset, but I have the intercept and the coefficients.

I am conducting a binomial logistic regression containing categorical and continuous independent variables. I finished the multiple imputation and model-building process and now want to visualise the results.

I’m a beginner in data analysis and I’m using data from the past 5 years NBA playoff games. I made a logistic regression model where the result of the game (0 or 1) is the dependent variable. I also used whether the team played at home (0 or 1), and several other variables like 3 point %, Offensive Rebound %, etc. Yet my output confuses me. Supposedly being at home isn’t even significant, which obviously isn’t true. And the beta coefficient of some variables is way too high for what I think log-odds should be (19, 20, etc). What did I do wrong? I made the home variable a factor btw.