1. Time invariant independent variable

Hey all, I have a time-invariant independent variable and a continuous dependent variable. My dataset is unbalanced panel data. I already know that I cannot use the fixed effects model as my time-invariant variable would be removed. Consequently, I decided to employ a Hausman-Taylor model in...

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3. Which Regression Model should I Use

Hello, I have a data set of students and I need to fit a regression model to predict the probability of a student will graduate college with a GPA => 3.4 or lower. I will be using age, gender, race and high-school GPA as my explanatory variables. Do I need a logistic or linear regression and...
4. compare variables

hello everyone, can anyone help me on how to do regression analysis using the equation below using stata. Thanks
5. Fit review for multiple systems

Hello everyone Im new here so I hope I dont get anything wrong. But heres my question: I am writing my Bacherlors Thesis one chapter of said thesis revolves around finding a better fit to my data than the Van-Deemter equation H(u)=B/u + C*u So after looking through some Data I found about 6...
6. Ols regression predictions

Hello everyone, Do i have to use the formula 1)y=b+b1x1+b2x2+b3x3 =81+0.48*50+0.46*30+0.06*100 =124.8 b1= age b2=BMI b3=blood glucose b=constant 2) Difference =b1*(difference in x1) =0.48*20 =9.6 Is this correct or am i doing something wrong? Thanks.
7. The same SPSS models give DIFFERENT results

This absolutely baffles my mind, so I hope you can help me out. I'm doing statistical analyses in SPSS with logistic regression models. I do crude analyses with a single dependent ("A") and a single independent ("B"). Moreover, I do adjusted analyses with a number of additional variables ("X")...
8. Logit Model_Predictive Regression

I want to know your mind about one point related to logit regression model. I am using logit model for my analyzing. My key independent variable is the lagged; hence, it is predictive regression. So, my dependent variable is 0 and 1. These 0 and 1 is related to the time of the day. To make it...
9. regression analysis for very small sample?

hello, my study is about "The impact of corporate governance on firm performance". my sample size is 5 compagnies i have 6 IV and 1 DV so my Q is, could i use regerssion analysis with such small sample size? if no, what is the best alternative to choose? thanks in advance