I have performed analyses using two different regression models, multi-nominal regression and Tobit regression.
In the first model I measured the impact of 9 variables on choosing travel mode while in the second model I addressed the impact of these variables on trip time duration. After submitting to a peer review journal I am asked to answer some comments of reviewers. One comment is:
(Multi-nominal regression model) "models include a significant number of insignificant variables. This approach misrepresents the magnitude, and possibly in some cases the sign of other coefficients. This needs to be addressed."
I showed the significant codes in my paper by these signs: Signif. codes: *α ≤ 0.10, **α ≤ 0.05, ***α ≤ 0.01
I think I was questioned because I have some variables that are not significant but one category of them is significant. For example, the chi-square of income and education is not significant but one category of them (low level income), or (high level education) is significant. However, the sig is under 0.05. How I should I convince the reviewer?
The second question that I should to answer is about the Tobit regression which I performed in Stata. I addressed the effect of several variables on time duration of work, shopping and leisure trips to city centre. I am asked to answer this comment:
(Tobit reg) "it is found that the goodness-of-fit of the leisure model is about 6 times for shopping and 4 times for working purpose travels. What are significant variables that could describe the travel time of work and shopping trips and overlooked? Why are the same group of variables that describe the travel time of leisure trips significantly better than work and shopping trips? Clarification is needed". Pseudo R2 for work, leisure and shopping trips are 0.082 0.32 0.052 respectively. the numbers of each kind of trip are 1375, 756, and 545 respectively.
To tell the truth, I do not have enough knowledge of regression models; I just run the models and I find it very difficult to answer these comments. I would be grateful if anyone could help me answer these comments.