Questions tagged [dependent-variable]
In a regression model, the dependent variable is modeled as a function of other variables (regressors). Other common names are 'response', 'outcome', 'predicted variable', 'criterion', 'target', etc.
196
questions
-1
votes
0
answers
7
views
categorical independent variables [closed]
I am conducting a retrospective study and have some categorical independent variables, and my outcome variable is also categorical. I am wondering if the chi-square test with multiple categorical ...
2
votes
1
answer
76
views
What are the `estimates` returned by `avg_slopes()` in modelsummary?
I have an interpretation question of R's marginaleffects avg_slopes function for logistic regression models. Consider the ...
- 541
0
votes
0
answers
25
views
Difference in means and variances of dependent samples
I am performing a simulation study where different values of an exposure X are repeatedly assigned to the same individual (200x in a sample of >10000 people). The way that assignment is done is ...
- 21
0
votes
0
answers
31
views
Multiple Dependent Variables, One Independent - with dummy variables
I am trying to run regression models and don't know what type of regression to be running.
I have one independent variable (binary variable) and 8 dependent variables (3 discrete, 3 categorical, 2 ...
- 1
2
votes
1
answer
28
views
impact of time to particular event on response
I am trying to evaluate which variables have the impact on the outcome. My clinical team wants to check if time to particular event has an impact on the outcome. If particular event occured, then time ...
- 185
15
votes
1
answer
487
views
What distribution should I use to predict three possible outcomes
I am 70, left school at 14 but took to maths a few years back to ward off dementia so please excuse the naivety of my question.
I have been using Poisson distribution to solve my problem but I dont ...
- 151
0
votes
0
answers
49
views
What is dependency on sequential data?
We know that Whenever the points in the dataset are dependent on the other points in the dataset the data is said to be Sequential data.
A common example of this is a Timeseries such as a weather data....
- 69
0
votes
0
answers
21
views
Addressing Scaling Bias in Panel Data Analysis
I am running an (unbalanced) panel data analysis, where the dependent variable is, $fixed\ cost\ (per\ ha)$ for an agricultural firm $i$ in period $t$. The explanatory variables are the hectares per ...
- 528
0
votes
0
answers
18
views
Target encoding in linear regression
I have a dataset with the loss rates of each contract as dependent variable. As independent variables I have country (four values), profession (5 values) and income (continous variable). I apply ...
- 1
1
vote
2
answers
31
views
PSPP multiple variable linear regression analysis
I'm just starting with linear regression, and I'm having trouble understanding it. It doesn't seem to make any sense to me. Yes, this is school work, but instead of asking for direct answers, I need ...
- 111
0
votes
0
answers
19
views
Interpreting Lagged Dependent Variable in Binary Logistic Regression
I am running a binary logistic regression to test the purchasing of a gym membership in 2021 against a series of controls (ie. income, gender). Included amongst these control is a lagged dependent ...
- 123
1
vote
1
answer
48
views
Negative percentages as dependent variable
I am analysing the effects of legal origin on the performance of firms within Canada and Quebec, and I'm in the process of gathering and cleaning the panel data as I was hoping to conduct both entity ...
- 11
3
votes
1
answer
60
views
Calculating binomial distribution probability for dependent trials
Context:
I am a software developer and recently we've had a bug report saying that one of our login systems are potentially insecure to a brute-force attack. I need to come up with a formula to ...
- 33
0
votes
1
answer
27
views
Predicting binary outcome when predictor variable increases
Suppose I have a simple dataset of numerous observations, each with a continuous numerical variable $x$ and a binary numerical variable $y$ (with values 0 for unsatisfactory, 1 for satisfactory).
How ...
- 1
0
votes
0
answers
26
views
Is there a way to calculate lambda for a Box-Cox transformation when there are two categorical independent variables in R?
I have the following model where X is the duration of a particular event, A is a factor with five levels and B is a factor with two levels. I want to run a type III ANOVA analysis.
...
- 441