# Tagged Questions

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### How can a categorical variable where respondents can choose more than one response be used as a predictor in multiple regression?

I have conducted a survey which asks respondents to indicate the informational sources regarding a product. There are 8 information sources (e.g., internet, newspaper, brochure and so on) and people ...
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### Different $B_0$ after setting the independent variable columns to factors?

I'm currently working with a dataset in R and my $B_0$ result is different when I run linear regression with & without converting the data into factors. And I want to understand what I'm doing ...
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### Difference between using a dummy variable in a multiple regression and clustering on that dummy

In a multiple regression, the coefficients become insignificant using vce(cluster year) in Stata. Will including year dummies solve the problem? How are these two ...
117 views

### Interpreting interaction between dummy IV and continuous moderator with log DV

I urgently need your help to read the results of my regression analysis for my master thesis, which I need to hand in next week. My DV is the natural logarithm of R&D expenditures, IV is a dummy ...
193 views

### How to run time and country dummies in Panel regressions? [duplicate]

I Want to know how to use time and country dummies in fixed effects model?
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### Multiple regression of nonparametric variable over different types of variable

I have a non normally distributed variable X (also its residuals are non-normally distributed). I have also two predictor variables, one categorical (two categories) and one discrete. Which regression ...
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### Regression interaction w/ dichotomous predictors: Two levels, two coefficients?

this question is about a way of presenting the results of an interaction I thought of, and I'm looking to see if it makes sense. If there is a better way to do what I'm trying to do (or if what I'm ...
430 views

### Dummy variables in multiple regression, why use an intercept?

When performing a multiple regression with dummy variables, is it really necessary to include an intercept term in the design matrix? By dummy variables, I mean indicator variables; a one in the ...
102 views

### Multiple regression with dummy variables

I need to calculate MR but my data consists of many dummy variables. I had a question in my survey that asked for the budget/month. But instead of giving the option to fill in a value, I offered ...
180 views

### Dummy coding for contrasts: 0,1 vs. 1,-1

I'm seeking your help in understanding the difference between two different contrasts for dichotomous variables. On this page: http://www.psychstat.missouristate.edu/multibook/mlt08.htm under ...
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### Multiple Regression questions (restricted regression, dummy variables)

Q1. Model 1: $Y=X_1\beta_1+\varepsilon$ Model 2: $Y=X_1\beta_1+X_2\beta_2+\varepsilon$ (a) Suppose that Model 1 is true. If we estimates OLS estimator $b_1$ for $\beta_1$ in Model 2, what will ...
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### Getting rid of a huge categorical factor in multiple regression

I have a large regression problem with a lot of cases, but relatively few independent variables. One of them is a categorical factor with thousands of levels. Robust regression runs forever. In some ...
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### Significance testing for different groups in multiple regression with dummy-coded interaction variables

Consider a multiple regression predicting outcome Y using a continuous predictor P and an interaction between ...
163 views

### Nominal data multiple regression analysis

I have been given the following data and am supposed to build a multiple regression model to be able to predict the price of a car: Price of Car - SPSS Measurement = Scale Mileage of Car - SPSS ...
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### ANOVA or Regression? 1 Continuous factor & 1 Categorical factor with continuous response variables

I have 1 categorical factor (3 treatments) and 1 continuous factor (weight) and then I have 5 continuous response variables. From what I have read, I should not use a two way ANOVA as one of the ...
440 views

### Should I use ANCOVA or multiple regression with dummy variables?

I am writing a manuscript using an experimental design which predicts interactions between 1 continuous variable and multiple dichotomous variables, all predicting a continuous variable. As is ...
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### Significant regression for the dichotomised predictor variable and not the continuous version of a predictor variable?

I am interested in examining the association between cardiorespiratory fitness and PCA derived dietary pattern scores in 264 adolescents. My cardiorespiratory fitness predictor is vo2max, and my ...
709 views

### Categorical predictor variables in multiple regression?

Can I run multiple regression with mostly categorical independent variables? I'd appreciate some examples to cite this approach as one of my reviewers is insisting that I justify the use of multiple ...
119 views

### Independent categorical variables and multiple regression with numeric dependent variables

Firstly I am very very new to stats... I am trying to find a relationship between a dependent numeric factor and have 6 nominal, 1 ordinal and 4 numeric independents. I have been using the category ...
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### Dealing with a categorical variable that can take multiple levels simultaneously

I recently posted a question with many parts and I'd like to focus in on just one issue that I didn't emphasize in the original post. My data is a list of records, each one representing an ...
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### Is it appropriate to do a multiple logistic regression where both the dependent and independent variables are binary?

Is it appropriate to do a multiple logistic regression where both the dependent and independent variables are binary? Or, can I only use simple logistic regression? What's the difference between ...
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### Categorical fixed effect w/ 3 levels in LMER

I have a categorical fixed effect with 3 levels that I'm trying to enter into an LME. ...
653 views

### Multiple regression with categorical variables

I have a data set with 3 continuous variables and 3 categorical variables. I know that I have to create dummy variables for categorical variables but I am wondering if it is a must to do that for all ...
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### Difference between two separate multiple regression analyses and one combined using dummy variables [duplicate]

Possible Duplicate: Should I run separate regressions for every community, or can community simply be a controlling variable in an aggregated model? I have a SPSS model output with fixed ...
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### Should I run separate regressions for every community, or can community simply be a controlling variable in an aggregated model?

I am running an OLS model with a continuous asset index variable as the DV. My data is aggregated from three similar communities in close geographic proximity to one another. Despite this, I thought ...