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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.

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Merging three continuous variables into one / Expressing relative size of three variables

Let's say that I have three distinct variables, all limited to values between 0 and 1. I want to "merge" or "combine" these three variables into one, and use the resulting variable as the dependent ...
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If a dependent sample (pre/post) is not paired (no link between pre & post) are they treated like independent samples? [duplicate]

Trying to run some tests on pre/post survey questions from a small pilot group of n=9. As a fault of the survey, there was nothing to link participants from pre to post. I'm trying to determine what ...
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Diff-in-diff with mactched control group

I want to run a diff-in-diff model. To choose an appropriate control group, I use a nearest-neighbor matching model based on several determinants of the outcome variable that I study. I was ...
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Possible increase/decrease in effect of omitted variable bias when transforming the dependent variable

We have estimated four different dif-in-dif models (two level-levels and two log-levels), and an important coefficient in one of the log-level models has changed sign. This variable was never ...
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Dealing with non-stationarity in panel data

I am using panel data for my analysis. My dependent variable is non-stationary while all my explanatory variables are stationary. Also, my dependent variable is a bounded variable (an index variable ...
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synthetic datasets without any dependecies between features

I have to create a synthetic data set without any dependencies between features so that this equation should be hold. I thought about to take simply several Gaussians or randomisers, each would be ...
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Random variable concept and terminology [duplicate]

I am a programmer with little mathematical background who started to study statistics/ML recently. I quickly stumbled upon the random variable term and it was hard for me to understand why in ...
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3answers
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Dependent variables - BMI and Weight [closed]

I have to figure out, which of the two variables (BMI and Weight) is the dependent. So I can make a scatterplot. Can you please tell me which one? And why? I tried searching the internet, but without ...
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Does taking logs to supress hetroskedasticity only work for the dependent variable?

I have been told that by logging variables in a regression that hetroskedasticity of errors can be reduced. Is this the case also if only my dependent variable is logged?
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Covariance between nominal and continuous variables?

I have an nominal independent variable (two groups) and a continuous dependent variable. A two-tailed Mann-Whitney test yields a significant difference between the two groups (p < 0.03; my data is ...
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203 views

Odds ratio for continuous dependent variable by regression analysis

Can the odds ratio be calculated for a continuous dependent variable using logistic regression? If yes, kindly explain the procedure in SPSS. Further, can we apply logistic regression to an dependent ...
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Where does the misconception that Y must be normally distributed come from?

Seemingly reputable sources claim that the dependent variable must be normally distributed: Model assumptions: $Y$ is normally distributed, errors are normally distributed, $e_i \sim N(0,\sigma^2)...
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Can I do regression without dependent variable?

I have a dataset of auto thefts that has the date, day, time the thefts occurred on. My independent variables would be day of the week, month, hour of the day, etc. I want to see if auto thefts is ...
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Formulating dependent variable for dynamic panel analysis

I would like to formulate dynamic panel model. I have set of independent variables, that's not a problem. But dependent variable is problematic. It should indicate probability for one event to happen -...
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Is it possible to test an interaction between an IV and (dichotomized) DV and the DV?

My dependent variable (DV) showed a very high skewness (strongly positive), so I was wondering if I might integrate the mean, or median, split DV as additional independent variable in my model in ...
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Is there any value in correlating a binary dependent variable and categorical independent variables?

I'm constructing a logit model with a binary dependent variable (probability of exiting unemployment). On the right hand side (independent variables), I have a few continuous variables and a number of ...
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My dependent variable is first difference stationary. Can I use the original variable?

I found my dependent variable is first difference stationary, but does this mean I have to use the first difference as my dependent variable? Or can I use my original variable as my dependent? My ...
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The law of large numbers mediates predictor-outcome relation, what to do?

I am conducting a random forest analysis in which a predictor is naturally correlated to the outcome. That is, the predictor is the amount of sunlight a patient received during his admission in a ...
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2answers
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Dealing with probable outliers in the dependent variable

I am trying to fit a simple regression to a data set with ~45,000 observations. The dependent variable is revenue growth, but I'm concerned some observed values are incorrectly entered data. To ...
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Ratio variable as a dependent variable and a percentage as a independent

I am doing a unit-level linkage analysis using performance indicators (at unit level) from an audit to predict the percentage of a successful indicator. Basically, I am trying to see if the ratio ...
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1answer
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Reversed distribution of dependent variable in Stata's quantile regression

I am little confused by the fact that Stata seems to reverse the distribution of the dependent when calculating the quantile regression (any of the commands). When I look at the simple c.d.f. of my ...
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Emotion as dependent variable. Can I refer to emotion as a deep/broad dependent variable?

I am testing a hypothesis with emotion as my (Y) dependent variable. I am wondering if you can refer to emotion as a deep/broad dependent variable? Becausse it is may be influece by a broad range of ...
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How to rank dependent variables

Statistics and I are mortal enemies. I have an independent variable (gender) and four dependent variables (A,B,C,D). For each of the dependent variable, there were multiple questions with likert ...
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Dependent variable is continuous and categorical - how to regress?

My research is about password safety. As dependent variable I have the number of attempts a software needed to crack the respective passwords. This results in values in a range from approx. 1e+5 to 1e+...
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Multiple multivariate regression problem - auto correlated dependent variables

I have a classic multivariate regression problem, i.e. dependent variables are stored in matrix $Y$ having dimension $n \times p$. So $p$ observations come from the same respondent $i$ and we need to ...
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1k views

Is it possible to perform a regression analysis without a dependent variable?

I have a data set with 5 independent variables. Is it possible to do a regression analysis without the presence of a dependent variable? ...
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Using continuous dependent variable which is already a probability (0,1) to predict probabilities (0,1)

I am building a model to predict probabilities based on the scores given by a logistic regression. I have tried cv.glmnet but it doesn't give the probability score, instead it gives scores lying in (-...
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Analysis of dependent variables

How does one use machine learning to identify/analyze the importance and impact of independent variables on dependent variables? Let's say I have a data set with independent variables being: ...
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2answers
327 views

Dividing a sample based on the value of y would be problematic?

Is it a well known fact in basic econometric that, if one divides a sample based on the value of Y (Dependent variable), it creates a number of problems? My dependent variable is financial rating ...
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Regression or classification with two dependend variables

I have a dataset with many variables about images and two dependent variables: one is a number that a person gives to that image and the other is which group that person belong (we have to groups, say ...
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1answer
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Testing for changes in variance following an intervention

I have a simple within subject design: I measure my variable (time point A), then do an intervention and measure the same variable afterwards once again (time point B) - my subjects are of course the ...
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1answer
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Does p (dimensionality) include the dependent variable?

Let us say I have a dat set of the following: Weight Height Body Fat Index is the dimensionality of the data 2 or 3 or does it depend if I'm trying to do say K-means clustering vs say linear ...