regression

  1. S

    Treatment of Coefficients from Regression Using Lagged Independent Variables

    I'm running a regression on two time series of financial returns, one dependent and one explanatory/independent. For the explanatory time series, I'm creating several lagged versions and using all of them as independent variables in in a multiple linear regression. My question is, how do I...
  2. L

    What statistical test should I use?

    Hi there, I'm currently in the process of carrying out a systematic review and I've gathered cost estimates from studies for a specific type of treatment (with two different approaches), I am interested in finding out if these costs have decreased over time. I have 40 cost estimates for the...
  3. E

    Ordinal Logistic Regression

    Hello! I am trying to perform an ordinal logistic regression (or at least I think I am) and I'm a bit stuck. My variables are all categorical or ordinal: DV: High, Medium, Low IV: Parent Gender: 0,1 Child Gender: 0,1 Essentially, I am trying to understand if a parent's gender...
  4. S

    How to Improve my Hosmer-Lemeshow Goodness of Fit Significance Value

    Hi, I'm just wondering if anyone here can help me. I'm making a model for my logistic regression. For the variables, I'm using 1 Dichotomous Dependent Variable (Financial Distresss, Y) and 2 Continuous Independent Variable (Corporate Governance Score, X and VAIC Score, Z). I'm using logistic...
  5. F

    Two dummy variables are mutually exclusive

    Hello all, I have a problem for a university assignment that two dummy variables are mutually exclusive. The task is to estimate what can increase certain diseases in dogs using regression. In the sample there are several factors (Lives in city yes/no, age, male/female etc....). Then there is a...
  6. T

    How is conditional main effect interpreted when there is interaction?

    I have a question about multiple regression. May I kindly ask how should I interpret the conditional main effect when the interaction is 0 and the coefficients have opposite signs, more specifically if one of the interaction term contains zero such as angle or time. Please see an example...
  7. victorxstc

    SPSS - Using mixed univariate ANOVA (UNIANOVA) or mixed linear regression (MIXED) instead of repeated-measures ANOVA

    Which process is better for using instead of Repeated-Measures ANOVA (SPSS syntax: GLM -- GUI command: Analyze --> General Linear Model --> Repeated Measures)? and Why? (1) Mixed univariate ANOVA (SPSS syntax: "`UNIANOVA`" -- GUI command: Analyze --> General Linear Model --> Univariate) (2)...
  8. H

    Statistical tests - help please!

    Hi all, I am writing a project plan and I am struggling with the statistical analysis plan as I am in the early stages of learning. I was hoping someone could guide me with what stats tests I could conduct with the following primary endpoint - thank you. Alternative hypothesis: treatment is...
  9. V

    Logistic Regression interpretation

    closed
  10. R

    Help deciding which spss functions to use

    I'll start off saying that stats in general has never been a strong point for me :D The variables i am using are; Gender Age Relationship Status Number of dependants Profession Neuroticism (Higher score = higher neuroticism) Affectivity (Higher score = positive; lower...
  11. T

    Uncertainty about normality (Q-Q Plot)

    Hey everyone, I've done several linear regression. Now I would like to test if my residuals are normally distributed. That is how my Q-Q Plots look like: But I'm not sure what to make of the Q-Q Plots. Most of them are pretty much on the line, except for the beginning and ending. What do you think?
  12. N

    Multivariate logistic regression?

    Hi! With my master thesis project, I only use categorical data. I have one independent variabele, with four categories. My dependent variables are dichotomous (yes/no). I would like to use logistic regression to calculate the odds that when the categories of my independent variable are...
  13. S

    Getting ANCOVA results with a regression

    Hello ! My outcome variable is a change variable that can take positive and negative values. My ancova has 1 factor (with 3 categories) + 1 continous covariate + a categorical noise variable. Only my outcome variable has missing data. I have to do a sensibility analysis comparing results from...
  14. L

    How to study the effects of alcohol consumption on happiness & cognitive function?

    Hello, I want to study if there's a relationship between alcohol consumption and happiness + cognitive function. Most of my data is nominal or ordinal. To measure alcohol consumption: How often respondent has had an alcoholic drink during the last 12 months To measure happiness: Overall...
  15. M

    Logistic regression model - numeric predictors modification

    I am running a regression using multiple variables in order to predict a binomial outcome. Two of my variables are numeric, most are categoric. My two numeric variables are age and bmi. I have calculated an odds ratio for each of those variables (e.g. if the bmi increases with 1 point...
  16. T

    Regression to find out the impact of the Brexit vote on migration (pre-Brexit)

    Hello and happy new year, I have a minor in statistics and am having some trouble finding the right variables for my regression. I know that you need 1 independent variable and 1 or more dependent variables. For example, you could calculate what effect the independent variable "income" has on...
  17. N

    What Model or Calculator should I use to set the right target?

    I have a production target in which 90% of widgets must be completed within 2 hours. The production process has two main components. Process A + Process B (together these have to be completed within 2 hours, 90% of the time). (quick note: Process A is the simpler process) I want to establish...
  18. J

    How to Analyze Continuous IV and DV?

    I'm a relative novice at statistics and would appreciate some help with a dataset I'm trying to crunch. I'm currently looking at factors that predict increasing utilization of healthcare resources following surgery in a set of 130+ patients. Some of the independent variables I'm looking at...
  19. P

    Understanding prediction output of zero-adjusted gamma model

    I am currently trying to implement a mixture model using the gamlss package in R. What I am trying to achieve is train a zero-adjusted gamma model on a training data set and then predicting values out of a test data set. Setting up the model is no real problem, I do this by ZAGA_Model =...
  20. hlsmith

    ROPE value in Bayesian Regression

    I am fitting a Bayesian regression model. The outcome is continuous (patient length of stay; a little skewed) and the independent variable is binary (treatment; y/n). There are a couple of covariates (continuous) in the model as well. I wanted to test that patients in the treatment group do not...