Choice of Variables for Linear Regression
Say, I have a dependent variable $Y$ that I want to model with a linear regression and independent variables $X_i$.I am assuming that two of my independent variables $X_1$ and $X_2$ have an effect on...
View ArticleHow do you calculate the amount of parameters needed to be estimated?
I don't quite understand this.A question was, pretend we have 4 predictors and all of them are binary - for the Naive Bayes method, how many parameters are there to estimate in the training step? The...
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Interpretation of ANCOVA output
I am struggling to interpret my ANCOVA output - I have looked at similar questions and can't figure it out.I am looking to determine whether there are gender differences in the impact of a specified...
View ArticleEffect of two independent variables on a dependent variable, each containing...
For example, the first independent variable consists of 30 factors, the second independent variable consists of 21 factors, and the dependent variable consists of 21 factors. There are four options for...
View ArticleR auto.arima with transformed covariates
I have a non-stationary output time-series (oil prices) that is to be forecasted with 20 different input time series. The series are all non-stationary. I am considering two approaches. Approach 1)...
View ArticleTarget variable is defined by combination of input features
I am trying to create a classification model which predicts whether or not a customer comes back to make a second transaction (after having made an initial transaction). I have details on date of first...
View ArticleIs it possible to apply a Kruskal-Wallis to data without clear...
I'm trying to find a NHST for my data that, as far as I know, are only compatible with a Kruskal-Wallis test. However, my variables aren't really identifiable as either dependent or independent; either...
View ArticleEstimate one regression coefficient for different variables
I would like to know whether it is possible to compute one identical coefficient for three different variables in a regression. So instead of estimating $\beta_1$, $\beta_2$, $\beta_3$ here:$$Y=\beta_0...
View ArticleDoes adding a random intercept for subject address confounding variables...
Let's say I am interested in identifying associations between a blood protein and disease activity, but I have multiple measurements per subject. Based on a literature review, I expect sex differences...
View ArticleDoes my predictor in my multiple regression have too many variables?
So I am trying to work out what is the best predictor of a) awareness over environmental issues, b) concern over environmental issues and c) pro-environmental behaviour from a set of sociodemographics...
View Articleexact match on covariates or include in a model?
The scenario is I have a binary outcome, a treatment group variable (3 groups) and 3 covariates. It is possible to exact match all 3 covariates on 1:N from group 1:2 and group 1:3. Would you perform...
View ArticleHow to handle ordinal categorical variable as independent variable
I am using a logit model. My dependent variable is binary. However I have an independent variable which is categorical and contains the responses: 1.very good, 2.good, 3.average, 4.poor and 5.very...
View ArticleLag/lead variables
I have a simple question related to the variables in a time series analysis.I am using a panel fixed effect regression to see the impact of instrument issuance on firm performance. My independent...
View ArticleWith logistic regression, how does one choose a number of predictors when...
Harrell's Regression Modelling Strategies suggests that the number of predictors should not exceed $m/10$, $m/15$ or $m/20$.* For logistic regression $m$ is $\textrm{min}(n_1, n_2)$, where $n_1$ and...
View ArticleWhich analysis to use for nominal (binary) dependent variable with multiple...
I have 1 dependent variable (DV) measured in binary (Exam, pass/fail), 3 independent variables (IV-1 is continuous (age, in years), IV-2 is binary (Country, Canada vs. US), and IV-3 is nominal, but...
View ArticleInterpreting Regression coefficients where Y is an index
I am having trouble with the correct interpretation of my regression coefficients. My independent variable is fund allocation which is a continuous variable. I have two output variables on which I...
View ArticleAdding predictors to an intercept-only model
I'm currently testing out a logistic regression model I plan to use to analyse the results of an experiment I'm yet to conduct. I'm running it in R.My experiment is going to measure whether animals...
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Determining independent vs dependent variables for multiple regression models
I am trying to create a multiple regression model in Python that takes hours slept, minutes of exercise, and my average daily mood to fit a 3D surface of $1^{st}$ (plane) to $5^{th}$ order polynomials....
View ArticleCan logistic regression predictor variables be nominal?
Can logistic regression predictor variables be nominal (like the charlson comorbidity index which ranges from 0-6)?
View ArticleWhat references assert that the effect size of a nonsignificant covariate may...
An answer to a FAQ notes:The effect size of a covariate may be high, even if it is not significant.Does anyone know of papers I can reference to support that assertion?FWIW, I do understand why it's...
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