# Tagged Questions

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### Geometric Interpretation of Softmax Regression

I'm writing a series of blog posts on the basics of machine learning, just for fun, mostly to validate my understanding of Andrew Ng's class. As I'm currently studying generalized linear models ...
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### Can a regression coefficient be explained both ways in logistic regression?

In logistic regression, depending on the sign of the coefficient we can say, for example, that when predicting political interest, a coefficient of $1.226$ for following the news indicates that people ...
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### Pre-post Logistic regression

A friend of mine approached me to help her to interpret her multinomial logistic regression model. They had measured people as 1 of 2 states at 2 time periods. So, each person can have 1 of 4 ...
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### Binary logistic regression on SPSS 20 - output seems inconsistent and illogical

I have one categorical dichotomous dependent variable (yes/no - retention of newly learned words) and two independent variables - both are categorical. One independent variable is "delay between ...
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### Interpreting exp(b)

With respect to (binary) logistic regression and a categorical IV, State, if a given exp(b) is .08 and I'm using indicator coding such that my reference category for the variable, State, is, say, ...
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### Logistic regression using 2 time points

I am performing logistic regression and would like some help with interpretation. My data was collected at 2 time points; baseline and follow-up. My outcome variable is a psychosocial functioning ...
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### Fractional Polynomial interpreting interaction terms

Background: I have developed a logistic regression model where I am trying to analyze the effect of socio-economic data of a family on their probability of receiving a home loan. I have used ...
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### How can I interpret binary logistic table?

I´m beginner with SPSS and I have on problem on interpreting binary logistic results. So I have this table: Variables in the Equation ...
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### Is there a simple rule for interpretation of Interactions (and their directions) in binary logistic regression? [duplicate]

I have a binary logistic regression with Y (a disease) and 5 independent variables (and some of their 2-sided interactions which did not cause multicollinearity). All of my single IVs significantly ...
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### I'm not sure how to interpret my binary logistic regression output from SPSS

My dependant variable is diagnosis of cancer malignant being 0 and benign being 1. And my covariate is mean radius (of the tumour). I get this: ...
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### How do I interpret logistic regression output for categorical variables when two categories are missing?

I am using binary logistic regression; the dependent variable is 1 or 0; the independent variables are two groups: the first group includes continuous variables (...
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### Interpretation of ordinal logistic regression output from SAS

In the SAS output for ordinal logistic regression, how should "Assessment Score Rankings" and "Assessment Score Distribution" tables be interpreted?
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### Interact categorical variables in GLM in R

I am trying to predict child nutrition (binary) using a set of variables. The two that I want to interact are maternal education (none, primary, middle, HS) and wealth quintile (1,2,3,4,5). Thus far ...
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### Percent correctly predicted of logit model

Is there a standard way to report the percent correctly predicted when predicting a binary outcome? Using glm in r, the results are predicted probabilities. However, in order to make a comparison to ...
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### How to interpret the odds ratio in a logistic regression with proportion as a response variable

I have a glm model for some data with a proportion as the outcome variable as follows: ...
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### Fewer variables have higher R-squared value in logistic regression

I am testing out 3 modeling approaches for malnutrition in children. Theoretically, distal determinants (education,poverty) operate through proximal determinants (water, sanitation) in determining ...
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### Exponentiated logistic regression coefficient different than odds ratio

As I understand it, the exponentiated beta value from a logistic regression is the odds ratio of that variable for the dependent variable of interest. However, the value does not match the manually ...
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### Interpretation of simple predictions to odds ratios in logistic regression

I'm somewhat new to using logistic regression, and a bit confused by a discrepancy between my interpretations of the following values which I thought would be the same: exponentiated beta values ...
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### Logistic regression with an log transformed variable, how to determine economic significance

I am using a logistic regression model with continuous independent variables and two log transformed size variables (total assets and total deposits). My question is how to interpret the results and ...
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### Interpreting logistic regression

I need to perform a logistic regression to to see if a group of variables which are found to be significantly associated with an outcome (by univariate tests) have significant impact on the outcome ...
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### How to interpret main effects when the interaction effect is not significant?

I ran a Generalized Linear Mixed Model in R and included an interaction effect between two predictors. The interaction was not significant, but the main effects (the two predictors) both were. Now ...
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### How to interpret logistic regression with days of the week and months of the year as predictors together with continuous and binary predictors?

I am using logistic regression to predict electricity spike prices (price that exceeds a certain threshold). I directly use the following variables as my independent variables together: (a) ...
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### Covariate present in a logistic regression model as a effect modifier, but not as main effect [duplicate]

Possible Duplicate: Including the interaction but not the main effects in a model I'm studying logistic regression now. And I have a question: Suppose I have a logistic regression model as ...
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### What is the difference between generalized estimating equations and GLMM?

I'm running a GEE on 3-level unbalanced data, using a logit link. How does this differ (in terms of the conclusions I can draw and the meaning of the coefficients) from a GLM with mixed effects ...
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### How to interpret regression coefficients in logistic regression?

I have run the following logistic regression: glm(formula = DecisionasReceiver ~ L1 + L2 + L3, family = binomial("logit"), data = lue) where L1 L2 and L3 code ...
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### Significant variable with no effect in logistic regression

In my logistic regression model, I have one independent variable that has a B value of 0, p = 0.006 and exp(B) = 1. Goodness-of-fit measures indicate that the model is acceptably "good". Intuitively, ...