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.
180
questions
0
votes
1
answer
33
views
Scatterplot relationship between dependent and independent variable for linear regression analysis
I am performing an univariate linear regression analysis. Before running the model I was always told to get an idea of the relationship between the independent and dependent variable through a ...
- 25
0
votes
1
answer
19
views
Combining location based probabilities from GPS data
I'm working with GPS data and have billions of GPS points stored in a DB. I'd like to be able to use this to create a class likelihood function that I can use somewhere else as as a visualisation or ...
- 111
5
votes
5
answers
353
views
Structural Equation Model design
Is it necessary in structural equation modeling (SEM) to incorporate all potential independent variables that could affect the dependent variable? Or is it acceptable to examine the influence of only ...
- 51
0
votes
1
answer
26
views
Normalised versus true racing times as DV for a learning experiment?
I have a question about using ratios as variables in alpine ski racing research. We want to compare skiers' performance on different days, but snow conditions affect the results. To address this, we ...
- 69
1
vote
2
answers
79
views
(Multivariate) normality assumption for dependent variable
In their book on multilevel analysis Hox et al. (2017) write in chapter 13:
'The main assumptions are [...] (multivariate) normality for dependent variables, which is the focus of the current chapter.'...
- 23
0
votes
0
answers
20
views
Cox regression with binary time-varying covariate
I am researching the association between menopause and the incidence of diabetes(outcome).
I have a baseline and three follow-up assessments. Given that women transition from non-menopausal to ...
- 1
0
votes
0
answers
7
views
Anyway to transform data with a varying derivative into something that can give me comparative percent changes everywhere?
Sorry about the confusing title, I am so confused that I don't even know how to frame the question.
I have a device that gives me two sets of output values depending on how I set the surface charge of ...
0
votes
0
answers
41
views
How to encode multiclass target variable?
I have a ML project for classifying news articles. In my dataset I have a target variable called "category", which represents type of the article, ("IT", "Science & Tech&...
- 101
0
votes
0
answers
11
views
Binary response mode with non-binary response variable [duplicate]
I’m a bit stuck with what seems like a simple question. I have data from an experiment whereby participants had to provide ‘yes’ or ‘no’ answers (so the response mode was binary). Their scores, ...
- 1
1
vote
1
answer
80
views
Understanding the Difference Between Independent and Dependent Variables
I'm new to statistics and I'm struggling to grasp the distinction between an independent and a dependent variable. For instance, if I want to examine the correlation between daily COVID-related deaths ...
- 13
0
votes
0
answers
19
views
Odds ratio interpretation of dependent and independent variables
I am searching for some studies to evaluate the effect of drug x use among patients using drug y.
One study reports the odds ratio for the concurrent use of both drugs.
Can I assume it is the same as ...
1
vote
1
answer
11
views
Can I apply a time dependant covariate to a cox regression with calendar-based time scale using data with staggered entry
I have a retrospective study evaluating the effectiveness of an intervention in reducing COVID infections on subgroup of patients. Using a control and intervention group, I was hoping to set a time-...
- 11
1
vote
0
answers
91
views
Implementing bias-adjustion for step3 latent profile analysis in R
I am identifying a latent profile model with the Mclust package in R. After identifying an optimal number of cluster I would like to identify possible covariates and distal outcomes via logistic/...
- 31
1
vote
1
answer
26
views
Coefficients stayed the same after re-levelling MLR variables
I have an MLR model created in R, regresses the dependent variable y, against the following explanatory variables: age (numerical), hair colour and eye colour (...
- 487
0
votes
0
answers
9
views
Correlation Study with two variables with a non linear trend
Well, I'm not very into statistics and I am facing a problem regarding the dependence between two variables in my experiments.
Context: I have to variables in my experiments, SNR and score. I know ...
- 11
1
vote
0
answers
15
views
What is the independent value in an roc curve?
An ROC curve is plotted with (1-False Positive Rate) on the X-axis and the True Positive Rate on the Y-axis. However, the way in which each point of the curve is plotted is by first picking a cut-off ...
- 11
0
votes
0
answers
15
views
Best DV operationalization for statistical power
I am setting up a questionnaire for a lab experiment to measure support for four competing policies. Very importantly, I want to know the public's order of preference. I am torn on how best to ...
- 111
0
votes
0
answers
46
views
Using standard deviation or variance/precision as dependent variable in repeated measures ANOVA
Imagine an experiment with four different conditions in a 2x2 design. Each condition was tested using n trials (approximately equal across conditions). I summarized the continuous outcomes for each ...
- 1
0
votes
0
answers
56
views
The independent variable is a share of a part constituting the dependent variable
I am conducting research on nonprofit cultural organisations for my master thesis.
I have 100 units of analysis (organization's financial statements) coming from 23 organisations. Therefore, I have ...
- 1
4
votes
1
answer
138
views
Inferences about $\mu$ based on the sum of two dependent normal RVs
Given:
$X \sim \mathcal{N}(\mu, \sigma^2)$
$Y|X=x \sim \mathcal{N}(0, (\theta x)^2)$
$Z = X + Y$
I want to be able to make hypothesis tests or confidence intervals for $\mu$ using $Z$ and known $\...
-1
votes
1
answer
19
views
Dependent variable "controlled" by a binary variable?
in my research the DV should be measured by means of an intent scale (Individual Entrepreneurial Intent Scale). For "controlling" if the answer in DV is correct, I want to include a binary ...
- 119
1
vote
0
answers
19
views
Sensitivity analysis based on a dataset with dependent variables
I am part of a company that produces data from satellite images and machine learning/deep learning. We produce different data and sometimes the results of one step will be used as input for the next ...
1
vote
1
answer
52
views
Experiment design - response variable is a sum over a period, low power
I would like to run a statistically rigorous experiment, similar to that of an E-commerce A/B test.
I want to create a checkerboard of time periods where I alternate between treatments A and B. ...
- 11
1
vote
0
answers
28
views
Do you need to normalize labels for models other than neural nets?
As mentioned here, normalizing the target variable often helps a neural network converge faster.
Does it help in convergence, or is there otherwise a reason to use it, for any type of model other than ...
- 11
0
votes
0
answers
24
views
Wilcoxon or dependent t test for my work
Me and my colleagues were doing a interventional study regarding diabetes knowledge in patients (pre-post study) and we have used fasting blood sugar as the parameter .In the results part the ...
- 1
1
vote
1
answer
73
views
Conditional expectation of dependent variable provided relationship
Suppose I have two random variables, $X$ with PDF $f_X$, and $Y$. Moreover, I know that $Y = h(X)$, and I do know the $h(x)$. Now I want to calculate the conditional expectation of $Y$ given $X$:
$$
E[...
- 193
1
vote
1
answer
19
views
Go to models for assessing accurate slope and intercept of model for simluation [closed]
What are your go to models for assessing as ACCURATELY as possible the slope and intercept of given predictor and predicted random variables? The goal is to use simulated predictors + outputted ...
- 13
0
votes
0
answers
15
views
Dividing a data set and extracting multiple means and standard deviations that predict the same response in a regression model?
I need to create a regression model where I calculate the response (final battery state of charge (SoC) of an eletric vehicle) based on the predictors (SoC_start, dist_travel, mean speed (x̄) and ...
- 1
0
votes
0
answers
38
views
setting hypothesis based on 2 independent variable
Normally, we have one main IV and other covariates and show relationship with DV. Based on the main IV we conceptualize the research question and hypothesise. Say, Income (IV), Mental Health (DV) plus ...
- 1
0
votes
0
answers
10
views
Data available for independent variable for 10 days, but dependent variable only for 8 days
Suppose the data for independent variable is available for first 10 days but dependent variable only for first 8 days how to predict dependent variable value for remaining 2 days.
0
votes
1
answer
29
views
Linearly dependent features with categorical variables
My dataset contains 350 indicator variables, which are grouped by category (i.e. they are the result of applying one-hot-encoding to categorical variables). For example, the first three indicator ...
- 125
2
votes
1
answer
66
views
Predicting distribution as target
Are there any ways to predict distributions as target?
For example we have user's profile and data from social network. And his followers age distribution:
...
1
vote
1
answer
300
views
Pre-Test/Post-Test Design with Control and Experimental Group and Categorical Dependent Variable
I have conducted a controlled experiment with the goal to determine whether an educational intervention improves the students' performance and self-assessment of their skills. Students from the same ...
- 11
2
votes
1
answer
60
views
Comparing two groups of incidence rates
Thank you for your time with this question.
I'm trying to answer whether an exposure is correlated to incidence of disease. I have a group of 100 counties in California, and I have the incidence of ...
- 21
0
votes
0
answers
13
views
Can random-intercepts granger cause random-slopes and vise-versa, and can model residuals granger-cause the score of the dependent variable?
Can random-intercepts granger cause random-slopes and vise-versa, and can model residuals granger-cause the score of the dependent variable?
I think random-intercepts may granger-cause random-slopes ...
user318514
0
votes
0
answers
45
views
Duplicates with different target variable after feature selection
I do have a large dataset (1_000_000, 100) without duplicates. After feature selection (permutation algorithm) I chose only 20 significant features for the model. ...
0
votes
0
answers
61
views
log of average or average of logs for regression?
I have to perform regression for product prices over a period of time and I have to do so for multiple categories. For eg. Category_1 includes prices of item_1, item_2 and item_3 over a period of time,...
- 21
2
votes
1
answer
1k
views
Can ANOVA be used with a categorical outcome and continuous predictor?
Of course ANOVA can be used with a continuous y and a categorical x.
If on the other hand my ...
- 137
0
votes
0
answers
14
views
Kruskal-Wallis DV/IV relationship
I have conducted a Kruskal-Wallis test in a bid to determine the impact of a student survey's rotated component on attendance. The attendance is ranked with discrete values from 0 - 4, and the ...
1
vote
0
answers
69
views
What sort of test to use when the ANCOVA has a categorical DV?
I am carrying out some research, and I realised that my DV is going to be categorical.
I originally planned on carrying out an ANCOVA; I have 1 IV with three levels, 1 DV and 4 covariates. After doing ...
1
vote
0
answers
13
views
Managing dependent variables in linear model
I currently have the following problem. I have some data following a linear model
$$y=\beta_1x_1 + \beta_2x_2 + \beta_0$$
(let's say with some Gaussian error) which I would like to estimate. However, ...
2
votes
1
answer
731
views
Can a Variable Be Both Dependent and Independent?
We can see that the GDP growth, represented by "y" is the dependent variable and independent variable. I would like to perform quantile regression in Eviews, with ...
- 161
0
votes
1
answer
20
views
Can a set of means be used as the dependent variable in a correlation?
The following is a purely hypothetical scenario. It is not based on any study I am conducting or plan to conduct, it is only me trying to understand what kind of statistical test I would need to run ...
- 115
2
votes
1
answer
125
views
bimodal outcome - non normally distributed residuals
I have an outcome variable that is bimodal, this is because in about half the sample is measured from 0 to 5, and half the time from 0 to 7.
Because of the different scales, I have decided to ...
- 1,067
1
vote
0
answers
185
views
Intuition about the relation between joint distribution, marginal distribution, and conditional distribution
The wording "intuition" might be a bit imprecise. I want to discuss how we visualize in our head going from one to another among the joint PDF, marginal PDF, and conditional PDF.
To make the ...
- 367
0
votes
0
answers
36
views
How to compare a mean with a mean of a means
For each patient, I have the value of a blood parameter on admission and several values of that blood parameter in subsequent days (not all the patients have the same number of posterior measurements)....
- 101
3
votes
1
answer
153
views
How to handle outcome variables during imputation of missing data in model building and assessment process?
Der community
I have a question about the appropriate handling of the imputation of missing data to get an unbiased estimate of prediction accuracy during model building and assessment. While ...
- 31
1
vote
1
answer
185
views
Is "vanilla" random forest regression appropriate when dependent variable is a rate (i.e. per 100 people)?
To add a little more context, I am working with a dataset from which I want to predict the population-normalized count of emergency department visits on county level, with 50+ independent variables. ...
- 143
0
votes
0
answers
8
views
Replicating a study with a discrete dependent variable in linear mixed effects model (1-4 scores) [duplicate]
As the title says, I want to replicate a study that runs linear mixed effects models with a dependent variable that is discrete, with scores from 1 to 4. So, I have two main questions about that.
1 ) ...
0
votes
0
answers
243
views
Dependent variable standardization in neural networks
I am using a multilayer perceptron model to predict urban temperatures. I have standardized the independent variables before training the model. However, I have not standardized the dependent variable....
- 23