# Questions tagged [continuous-data]

A random variable $X$ is called continuous if its set of possible values is uncountable, and the chance that it takes any particular value is zero ($\text{P}(X = x) = 0$ for every real number $x$). A random variable is continuous if and only if its cumulative probability distribution function is a continuous function.

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### What statistical model can incorporate my categorical variable (2 levels) and 2 continuous variables?

I have some data which has a categorical variable (treatment) with 2 levels, control and 'mice added'. I have 2 continuous variables of plant density and elephant number/density. I have examined the ...
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### Statistical testing on discrete time series data?

I am trying to analyse some data which has 40 different subjects, 1 categorical factor with two levels (20 male and 20 female). The rate of tree cutting was recorded at 4 different time points for ...
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### Ranks of a set of maximal invariant statistics

Let $\{\mathbf{x}_l\}_{l=1}^L$ be a set of i.i.d. (continuous) random vectors sharing the same density $p_X$. Let $\{Q_l\}_{l=1}^L$ be a set of (positive and continuous) random variables representing ...
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### Finding an association between two methods of medical intervention and a continuous variable [duplicate]

I have here with me, two methods of intervention; a standard care method, and a specialised intervention. Different individuals receive different method, its all randomly allocated. I am trying to ...
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### Continuous predictors for negative binomial regression

I can't seem to find a straight answer for this question. From formal coursework I've taken, it seems that Poisson/negative binomial regression require a data layout like this: Where the categorical ...
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### How to make a choice when there is doubt between a variable being categorical or continuous?

I have an instagram dataset. Often the caption contains tags (@person_x). I counted the amount of tags per post but now can't choose wether to use it as a continuous variable or categorical. I know ...
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### Accounting for Inter-Sample Collection Time Variability

I'm trying to run regression analysis on a dataset that features a pair of continuous variables that are collected at a certain time (in days). Whilst the data should be collected at a specific time, ...
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### multivariate analysis with mixed numerical and categorical dependent variables

I have one independent variable (yes/No) and several covariates (sex/age and so on..), five dependent variables (four continuous, normal distributed and one categorical as yes/no). I want to look up ...
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### Data analysis method for 1 independent variable and several dependent variables?

I am working on a fertilizer experiment, involving three different treatments of fertilizer. I wish to evaluate the relationship between the treatments (independent variables) with several different ...
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### Can I treat my continuous variable as a categorical variable?

I know that there many dangers and disadvantages of treating a continuous variable as a categorical variable. However, I also read in some cases it is applicable (e.g. when the relationship is non ...
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### Positive sums of small quantities at low resolution

Many measured continuous quantities are in fact sums of discrete events measured with insufficient resolution (e.g. electric current) and thus conveniently modeled by continuous probability ...
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### Best way to establish effect sizes in high-dimensional model with mixed data

I have 4 categorical variables, one is by state so it has 50 possible values. I also have 3 continuously distributed values. I'm trying to predict a continuous variable. I'm using a random forest for ...
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### Which statistical test to use for one continuous dependent variable and 2+ continuous independent variables?

I am exploring the relationship between unemployment (using unemployment rate, continuous dependent variable) and migration flows (continuous independent variable) over time. I have done a series of ...
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