regression

Hi all, I'm currently doing my masters thesis about blood pressure monitors. I'm compairing them on repeatability using a simulator. Now i have 5 different devices with each 3 simulations x 85 measurements. (Simulations are High blood pressure, low and normal) I did the basic thing like look...

I am looking at sports team level data (summarized by average in each season) over several seasons and would like to predict/classify the winner of the championship. In a single season, the data has many more variables than observations (for example, 30 variables but only 10 teams). Would it be...

I have data that has length, age and density (counts) and i am trying to model this data to see if density at birth has an influence on length. Since my response variable reaches a plateau i know i will need a non linear model. Can anyone help me with how to go about fitting a non linear model...

I have an issue with selection bias in my independent variable and I am uncertain of the best approach to correct for it. I'm looking at soccer data and trying to make some forecasts on players from different amateur level clubs to what they might be expected to do at the professional level...

Hey guys. I’m doing a single-case, multiple baseline design study. It’s likely that visual analysis will show significance, which means I’ll need to do a regression-based analysis, as recommended by the What Works Clearinghouse. In my proposal I need to write 2-3 simple sentences about what...

Hi, I will lay out the experiment I am analyzing shorty and a little bit simplified: Participants were asked to debate a topic with an experimenter. The participant's debating strategies were observed and scored. For example, every participant obtained a score for "negative strategies" (NS)...

Hi all - I am working on regression analyses with timing data as the outcome variable. Specifically, I trying to estimate questionnaire item response time based on item attributes (e.g., item content, number of response options, etc.). I am sure there are respondent factors that impact response...

Hi, has anyone an idea how to solve this equation: y_t - y_t-1 = c + delta*t + phi*y_t-1 + eps_t I would be super grateful if anyone could help. Cheers!

Hello, I have found that the interaction treatment by pretest is significant. However, the interaction is not depicted on the scatterplot (see attachments). Am I doing something wrong or can I say that the interaction is outside the range of possible test scores (0-10) and that the assumption...

I have a question about whether I can model in a way that solves this problem: Suppose a swimming coach has 100 athletes and only cares about the distance they can each swim in 5 minutes. From this, he sets a baseline expectation of each swimmer’s "5-minute distance" expectation that is...

Hello everyone :) I would like to ask for advice regarding recreating a logistic regression model (please see the picture attached). I am working with household level data (English Housing Survey) and on the top of the already present household-level variables, I would like to construct...

Good morning, I am new to this forum and would like some help with the interpretation of the following regression. I hope I am in the right place. lnWaste = +A(lnGDP) +B(lnGDP)2 I have found coefficients for lnGDP= -1.85 and for (lnGDP)2=0.1 Now I am trying to give an interpretation of what...

Hi all, I’m a psychometrician at Penn (https://scholar.google.com/citations?user=TlO7ZTsAAAAJ&hl=en) and wanted to get your feedback (as students, faculty, or private sector folks) on a new tool I’m developing for one-click automatic data analysis: https://mooremetrics.com/deedive All you have...

Hi, I'm doing a logistic regression analysis with a binomial outcome variable (Yes / No). My main predictor variable is categorical and has 3 levels. I'm also including categorical and continuous confounding variables as predictors. What is the best way to convert my outcome variable from...

I have a regression model with some response Y and covariates height, weight, age, sex. Sex is the only categorical covariate and it takes on the value Sex = 0, for female Sex = 1, for male I want to interpret the intercept of this model, that is the estimated mean value of Y when all the...

I have two regression models with different number of covariates/predictors. After performing a subset selection, the remaining two choices are Model 1, which has 7 covariates and a lower BIC. Model 2, which has 11 covariates and a higher adjusted R^2. Using the BIC criteria, you select the...

Hi, can someone explain me why it is usual to run a 2SLS if we are not "satisfied" with one variable and using an instrumental variable to adjust the model? (I am just talking about the just-identified case) Wouldn't it be easier just to replace the variable with the new one, so we have a new...

I try to improve my statistical knowledge and right now I am working on a regression that contains interaction terms. I am currently investigating the effects of different variables (a1, a2 etc.) on the quantity of chairs sold in a transaction (dependent variable). To see if effects are...

Hello altogether, i am currently analysing a dataset of 10,000 transactions. I am analysing the effect of different advertising campaings on the quantity of chairs by using multiple linear regression model with zip code and day dummies. I am interested in formally writing the regression model...

Hi everybody, let's assume I hypothesize: H1: A direct effect of X1 on Y H2: A direct effect of X2 on Y H3: A two-way interaction between X1 and X2 H4: A three-way interaction between X1, X2 and X3 H5: A three-way interaction between X1, X2 and X4 and run the following OLS regressions to test...