regression

  1. G

    Random Regression in R

    I am a student. I have some knowledge of mixed regression models. I would like to implement Random Regression in R. I found "Random Regression Models" by Schaeffer (http://animalbiosciences.uoguelph.ca/~lrs/BOOKS/rrmbook.pdf) helpful. I have also read "MCMCglmm Course Notes" by Jarrod Hadfield...
  2. I

    Regression analysis across multiple data sets

    Hi All. I'm new to this forum but I have a background in stats and in business/social science research. I'm in the early stages of designing a research study that will analyze a large dataset for about 100 publicly traded companies. There will be about 10-20 independent variables for each...
  3. L

    Inverted U-shape estimation

    Hi, I am currently writing my master dissertation about the impact of corporate income tax reduction on the competitiveness of nations. It might be probable to assume that a reduction of corporate income tax will have a certain effect depending on the level of corporate income tax already...
  4. P

    Statistical Test for multiple choice questions

    I Iaunched a survey recently where I have the following types of questions - 1) A multiple choice question (where users can mark more than one correct answer), let's call it variable a. 2) A single choice answer type question (radio button type), let's call it categorical variable b. 3) A...
  5. G

    distance from expected in terms of standard deviations

    assume I am predicting home runs, assume all player bat the same number of times, so we can do this by total home runs, and not home run rate) from a player based on past experience. I have a linear regression model for one period of time that determines the model, and I then run 100 players...
  6. B

    Looking for the best way to use my available data in a predictive model

    I have several pieces of data available, but I'm not sure about the best use of it in a predictive model. I envision using a regression, then plugging the predicted values into a monte carlo simulation for optimization. I'm wondering how an experienced statistician would use the available data...
  7. M

    One predictor overshadows all other?

    Hi everyone! I was wondering, how do I deal with a predictor that overshadows all others? All predictors included in the model are statistically significant, but one of the has a very strong impact on the dependent variables, so much that when its value is high, the impact of all other...
  8. 0

    Comparing categories of a independent variable in logistic regression

    Hello, I have a doubt about the ways of comparing categories in logistic regression. I have 200 subjects with a dependant variable (positive/negative) and I want to test them with an independent variable (IV) of 4 categories (age). I am going to use a logistic regression, but when I do that, I...
  9. T

    Logistic Regression Stata: ommitted due to collinearity ?? Help

    Hi there, I'm an MSc student in Medical Entomology and I'm in the midst of analysing data for my final project write up. My project is assessing the efficacy of different insecticide treatments applied in experimental huts against malaria mosquitoes. Now my dependent variables are: mortality...
  10. L

    How can I compare the effect of different VI on my VD?

    Hi, I would like to compare the effect of different independent variables on a dependent variable. My VD is quantitative. I have 3 VI that are nominal: Valence (2 levels), Rhetorical orientation (2 levels), statement type (3 levels). It looks like that: In order to asses the influence of...
  11. L

    Before to making a regression

    Hello I want to ask you, before to making a regression should we understand which distribution follow the datas? Let's take an example: if the data have a poisson distribution, then I will run a Poisson regression? If the data follow a gaussian then one should use...
  12. S

    Usage of monthly indicator variables in a Weekly dataset

    Hello, I am a newbie and request some inputs on the usage and impact of indicator variables in regression analysis. I have a weekly dataset and intend to use regression analysis for prediction. To model seasonality, what are the pros/cons of either a) using 12 monthly (weighted) indicator...
  13. kiton

    "Quartile" Regression

    Hello dear forum members, I am conducting a replication study based on the paper by Gao, G. G., Greenwood, B. N., Agarwal, R., & McCullough, J. S. (2015). VOCAL minority and silent majority: How do online ratings reflect population perceptions of quality. MIS Quarterly: Management Information...
  14. A

    Regression Analysis - Beta Values

    I have a question on a sample test for my upcoming prelims and I am unsure how to answer a question, scenario and questions below... A study measured dental measurements from the center of the pituitary to the pterygomaxillary fissure (measured in mm) for 11 girls and 16 boys at ages 8, 10, 12...
  15. L

    Need Help with Data for Regression

    Hi, I am working on a replication of a research paper where I have to compile my own data to copy the regression done in the research paper. I have never done a regression like this before and I am not sure about the data I chose - I would appreciate any help and input. All the variables I...
  16. A

    Advice on methodology and analysis, regression.

    Dear all, For my Master’s thesis, I have some difficulties with the statistical part of my research. I want to analyze the relationship between two variables: Investment in Innovation (R&D) --> Concentration Ratio 1. Research & Development (R&D) Investments in an industry 2. Concentration...
  17. D

    Long-horizon predictive regression

    Hey guys! So for an assignment I have to compute some long-horizon predictive regressions. Univariate, bivariate and multiple. We use MatLab, but my MatLab skills are very very basic and I need your help, because i can't find the right answer. I collected all my monthly data (From 1963:07 to...
  18. A

    How to deal with observations error in linear regression

    I have data of 11 predictors and 1 response with 1000 observations and i'm doing linear regression on the data. I also have the measurements errors for the predictors (not for the response) and i'm struggling in find out hoe to count for them in the total error estimate, because basic multiple...
  19. R

    Comparing quantitative parameter between two groups with only one of these having repeated measures

    My question regards the best way of comparing two groups for differences in the levels of several quantitative parameters. Here, for only one of the groups there are 4 repeated measurements at different intervals. The data -We have two groups we want to compare: one consists of ~200 patients at...
  20. K

    Categorical Variable Coding Question

    Hi! I have a question on the coding/use of categorical variables: In short, I have two control variables in an SPSS regression model. One is participant (15 levels, or participants) and one other categorical variable (10 levels). And there is just one predictor variable in the model. I've tried...