regression analysis

  1. 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...
  2. 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...
  3. 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...
  4. 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?
  5. 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...
  6. 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...
  7. 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...
  8. R

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  9. A

    Regression

    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...
  10. 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...
  11. 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...
  12. 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 (-)...
  13. 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...
  14. 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...
  15. 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...
  16. 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...
  17. E

    Hierarchical linear model/ Regression Analysis

    Hello everyone, It may sound really basic for some of you, but, can I use a hierarchical linear model if my participants are students nested within classes in two different schools? The independent variable is only one (my therapeutic intervention), and my design has two groups (experimental...
  18. E

    Linear modelling

    Hi, I need some help with a modeling query: I have fit 100,000 linear models: M ~ age + age^2, M is the frequency. I found 2,000 models were significant, but would like to narrow it down to find the most ‘extreme’ cases. Is this possible? Does anyone have any suggestions or any references...
  19. K

    What to add to Binominal Regression? Demographics + motivations?

    So i have a binomial regression for predicting monthly spend on clothes based on shopping motivations; describing 65% of the variance. If I put in some demographics this explnattion goes higher to 69%. But can demographics be added to these models like this to get better results or should they...
  20. D

    How to interpret interaction effects when main effects are also significant

    Hi! I am currently writing my thesis, and stumbled upon a problem. I am testing an hypothesis in which I examine an interaction effect. Unfortunately, both the main effect and the interaction effects are significant (see image below). Right now I don't know what to report. So my questions are...