regerssion analysis

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    how to analyze data with 3 samples with factorial experimental design

    I am trying to analyze data for my thesis so a factorial experimental design has been suggested. The problem is I have done the collecting data process before designing such an experiment. I have just 3 samples with 6 factors (velocity, time, depth, humidity of soil, humidity of environment) and...
  2. L

    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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  4. N

    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...
  5. F

    compare variables

    hello everyone, can anyone help me on how to do regression analysis using the equation below using stata. Thanks
  6. M

    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...
  7. 1

    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.
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    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")...
  9. K

    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...
  10. I

    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