regression analysis

  1. S

    How to use a regression equation?

    I have a regression model with 11 predictors developed by a researcher. Among the 11 predictors, in a different dataset, I have 7 of them. How can I modify the previous regression model and account for the 7 predictors only? I know I can develop a new regression model. However, I want to know...
  2. R

    Only Time Fixed Effects for Cross-Sectional Data

    Hi Talkstats-Community. I have been browsing around but couldnt find an answer to my problem. Hopefully you might be able to help me on this. I have a dataset with funds that were launched in the last 40 years and the final performance that they achieved until they were liquidated. This means I...
  3. E

    B value in regression analysis

    Hi all, Please bear with me here. I am new and I also am only learning about statistics & regression analysis. One question about the interpretations of regression coefficient in multiple regression models. I have one variable which comes statistically significant. However it is wrong way...
  4. Frank Magique

    Controlling for response bias where all goals are positively related to well-being: regression or mean-centering?

    Hi, I am conducting a study where I've asked participants to rate how much they aspire towards 13 different life goals and want to know how upholding these various goals is related to well-being. However, it has been noted in the literature - and my data shows this as well - that essentially...
  5. R

    Problems with the significance of a subset

    I have performed a hedonic regression with a database where all the variables are very significant and according to the calculations made in R with a squared R = 0.61. the same regression for a subset of this database when they met a certain condition, and the result has been that many of the...
  6. A

    Ordinal logit regression with ordinal dependent and independent variables

    My question is very straightforward. I have different ordinal independent variables (with 4 or 3 categories), and I am trying to regress those on different ordinal and nominal variables. I want help on how I could interpret the coefficients and the odd ratios, even though on the picture I attach...
  7. Z

    Estimating share of fixed and variable costs

    Hi, I would like to estimate to what degree (e.g. 20% fixed) the costs of e.g. a central function like HR develop with the growth of e.g. Revenue within a company. My first though would be a regression for estimating HR costs Y if sales (X) go up by $1. However I'm supposed to classify HR costs...
  8. A

    Multivariate regression on 11 patients

    It might have sens to perform a multiple linear regression on 11 patients to understand if the symptoms influence the speed of growth?
  9. J

    Distribution of DV in multiple OLS regression

    Hello, I am running a multiple linear OLS regression on a DV with the following frequency distribution. The DV is the mean of 5 Likert-scale items (thus, pseudo-metric as common in social sciences). I know that the DV does not have to be normally distributed in multiple linear OLS regression...
  10. R

    Other remedial measures for multicollinearity?

    I have log transform my model already, choose per capita variables but multicollinearity is still a problem. I plan to drop the variable which has the highest vif (over 200)... however, I read somewhere that I will be subjected to specification error/bias. I need to address this one since...
  11. M

    Difference in Difference Method

    Hi guys! For some research we ran a regression analysis in Stata using the Difference in Difference method. this method uses a controlling group of countries to neutralise other effects than the effect of change in regulations. Afterwards we manipulated the data deviding it through year 2011...
  12. R

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  13. A


    My model for thesis is based on CRedit Rating of the firms and its categorized from AAA to CC from 8-1 (scale). The base paper states to use ordered probit regression and other reference paper says ordered logit model. I don't know any of the models. Can anyone guide me when to use such models...
  14. G

    Estimating the age of labor market entry

    I need to estimate the age of labor market entry for a given year (2016), but I can only use four explanatory variables: age, sex, income value, and the category in which the worker classifies himself (employee, self-employed, domestic worker, and employer). The data comes from a household...
  15. W

    Asymptotic regression model

    Hi all, fairly new to statistics, so apologies in advance if the below is not suitable for this forum. I have a data set in which the behavior is fairly asymptotic with 0 over time. I'm wondering what would be the best type of regression model to fit this data given that logarithmic...
  16. G

    Variable as confounding if it influences other factors in opposite directions?

    I examine the relationship between population density (PD) and the insurance density (ID) taking into account different market exploitations (ME) of an insurance company in municipalities. The correlation matrix (Pearson) shows the following relationships (all high signifikant): PD vs. ID (-)...
  17. S

    lmer set-up (t-test with covariate?) ?

    I have 139 subjects (ID), with measurements taken at two time points (Time1, Time2), at 148 brain regions, a dependent measure called volume, and a covariate called thickness. Each subject has 148 brain regions with volume and thickness measured twice I am trying to find out if there is a...
  18. T

    Help URGENT deadline!! What data analysis method should I use to test the effect 1 variable has on 3 other variables ?

    Hello, I’ve just joined and am in need of any help that I can get. Basically I wanted to test whether phubbing ( snubbing someone to use your phone) impacts relationship satisfaction, sense of self-worth and respect for your partner. Does anyone know what statistical analyses I would need to...
  19. B

    Regression analysis - difference as dependent variable

    Hello all, I need help in understanding the regression result. The dependent variable is the travel distance difference within partners. The independent variable is age difference within partners. My question is how to interpret the association between age difference and travel distance...
  20. B

    'relative difference' as dependent variable

    Hello all, I need help in understanding the regression result. The dependent variable is the travel distance difference within partners. The independent variable is age difference within partners. My question is how to interpret the association between age difference and travel distance...