Hi Mike, what an overwhelming video thank you! I have a question, in your updated 'fit,' p-values of genderid 1, income 2, and income 3 are above 5% thus, telling us that we have to discard them in the final 'terminal' model. Moreover, in the Likelihood ratio tests of the predictors you learnt that these same factors are rly insignificant. Here's my question: will these 2 steps always have parallel results (like what happened in this example) and can be said as redundant procedures, or it isn't always? Again thanks
Please I have analysis of deviance which gives this result. 1. Deviance = 60.798, pr(>Chi) =0.000001562. 2. Deviance = -24.922, pr(>Chi) =0.000353. Please which one can I choose?? Also, can deviance value be negative?? Your response will highly be appreciated.
There is no better online explanation of logistic regression in R than this one! Thanks!
Thank you so much, Sir. It helped a lot.
Hi Mike, what an overwhelming video thank you! I have a question, in your updated 'fit,' p-values of genderid 1, income 2, and income 3 are above 5% thus, telling us that we have to discard them in the final 'terminal' model. Moreover, in the Likelihood ratio tests of the predictors you learnt that these same factors are rly insignificant. Here's my question: will these 2 steps always have parallel results (like what happened in this example) and can be said as redundant procedures, or it isn't always? Again thanks
Prof Mike, should not we use family = "logit" syntax for logistic regression? Please correct me if I am wrong.
Rock on Mike! Great video!
Thanks, Alec!
Please I have analysis of deviance which gives this result.
1. Deviance = 60.798, pr(>Chi) =0.000001562.
2. Deviance = -24.922, pr(>Chi) =0.000353.
Please which one can I choose??
Also, can deviance value be negative??
Your response will highly be appreciated.
Please upload video about fixed effect panel regression using first difference approach
thanks, it was great. plz answer Aliu Omotayo.