All Questions
Tagged with data-visualization logistic
13 questions
43
votes
2
answers
76k
views
Interpretation of plot (glm.model)
Can anyone tell me how to interpret the 'residuals vs fitted', 'normal q-q', 'scale-location', and 'residuals vs leverage' plots? I am fitting a binomial GLM, saving it and then plotting it.
- 531
7
votes
2
answers
7k
views
How to use boxplots to find the point where values are more likely to come from different conditions?
I have plotted some data using box plots.
I am comparing Condition 1 (left) and Condition 2 (Right) values. My aim is to find a point at which we make a decision where the value changes from point ...
- 151
12
votes
1
answer
29k
views
Graphing a Probability Curve for a Logit Model With Multiple Predictors
I have the following probability function:
$$\text{Prob} = \frac{1}{1 + e^{-z}}$$
where
$$z = B_0 + B_1X_1 + \dots + B_nX_n.$$
My model looks like
$$\Pr(Y=1) = \frac{1}{1 + \exp\left(-[-3.92 + 0....
- 2,645
11
votes
2
answers
2k
views
What's the best way to visualize the effects of categories & their prevalence in logistic regression?
I need to present information about the main predictors of a candidate's votes using a public opinion survey data. I have run a logistic regression using all the variables that I care about, but I can'...
- 281
6
votes
1
answer
15k
views
Why does my ROC curve look like this (is it correct?)
I have a ROC curve generated for a multivariate logistic regression. Does it look correct?
This is what I've done:
Solve $\theta_0 + \theta_1X_1 + \theta_2X_2 ... = Y$ for the $\theta$s
Iterate over ...
- 173
6
votes
3
answers
23k
views
Plotting logistic regression interaction (categorical by continuous) in R
Hello I have the following logistic model with a categorical variable interaction which I wish to plot in R but I am struggling to find any solutions -
...
- 63
5
votes
1
answer
3k
views
Presenting marginal effects of logit with fixed effects
I have a traditional logit model with a dichotomous dependent variable and several independent variables. One of the IVs is categorical and in my R code, I treat it as a factor.
In the past, I've ...
- 361
15
votes
2
answers
3k
views
How can Logistic Regression produce curves that aren't traditional functions?
I think I have some fundamental confusion about how the functions in Logistic regression work (or maybe just functions as a whole).
How is it that the function h(x) produces the curve seen in the ...
- 335
12
votes
1
answer
7k
views
Logistic quantile regression – how to best convey the results
In a previous post I’ve wondered how to deal with EQ-5D scores. Recently I stumbled upon logistic quantile regression suggested by Bottai and McKeown that introduces an elegant way to deal with ...
- 5,996
8
votes
2
answers
3k
views
Presenting logistic model fit graphically
I have run 3 separate logistic regressions and would somehow like to summarize how well the model fits the data graphically.
Any suggestions?
- 3,177
6
votes
3
answers
4k
views
Creating univariable smoothed scatterplot on logit scale using R
I am learning logistic regression modeling from the book Applied Logistic Regression by Hosmer.
I need to create a plot named "create univariable smoothed scatterplot on logit scale", ...
- 3,249
6
votes
2
answers
6k
views
Plotting a categorical response as a function of a continuous predictor using R
I would like to plot the relationship between a binary categorical response variable and a continuous predictor to study its shape. The goal is to prep a logistic regression.
This image may clarify:
...
- 63
2
votes
1
answer
4k
views
Should predicted probabilities from Logistic Regression correspond with percentages?
I have conducted a logistic regression in order to identify whether student status (student/non-student), time period (time 1, 2 or 3), or condition (condition 1 or condition 2) predict a binary ...
- 329