regression

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...

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...

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)...

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...

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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...

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?

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...

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...

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...

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...

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...

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...

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...

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 =...

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...

Hello! I have a situation that I have never encountered before, but I think I know what the issue is. Nevertheless, I could use some assistance. I ran an experimental study with a within-subjects design. Subjects learned words under 4 different conditions (A,B,C,D), 30 words in each condition...

Hi everyone, I want to examine the effect of a treatment on an observation group with a Diff-in-Diff approach in a panel data setting in Stata. To avoid differences across subsamples I additionally using entropy balancing. Now, I have a methodical question. I have already read some papers on...

Hello, I am an MBA student and require help doing a multiple linear regression analysis using spss, check if I uploaded the data with the correct options and how to interpret the data and results. I have 2 independent variables and 1 dependent variable. Thanks!

Hello all, I understand that if you have individual level data and you are trying to calculate something like income you might run a regression like probability of incarceration = intercept + education_level +other_controls . . . + error where education_level is a categorical...