Can count data be continuous?

Can count data be continuous?

There are two types of quantitative data, which is also referred to as numeric data: continuous and discrete. As a general rule, counts are discrete and measurements are continuous. Continuous data, on the other hand, could be divided and reduced to finer and finer levels.

Is a count variable a continuous variable?

Continuous variables can take on any value on a number line, whereas discrete variables can take on only integers. This is important in statistics because we measure the probabilities differently for discrete and continuous distributions. A count variable is discrete because it consists of non-negative integers.

What counts as a continuous variable?

Continuous variables are numeric variables that have an infinite number of values between any two values. A continuous variable can be numeric or date/time. For example, the length of a part or the date and time a payment is received.

Can a count variable be treated as continuous?

Treating that count variable as continuous would give you predicted values that are non-integers, but perhaps that’s not a big issue in your particular data set. Q: How high does the count scale have to be before you can consider it continuous?

When to use regression model for count data?

Usually we are interested to study relationship between one (response, dependent or outcome) variable to one or more variables (explanatory, independent or predictors). Regression model for count data referes to regression models such that the response variable is a non-negative integer.

Is it common to treat ordinal variables as continuous?

In the social sciences I have encountered that it is common to treat ordinal variables as continuous, for example variables originating from rating or Likert scales (strongly disagree, disagree, agree, strongly agree).

When can count data be considered continuous SAS?

Hi Karen aim trying to analyse my data using SAS (GENMOD) all independent variables are categorical with different levels, while the 2 dependent variables are continous (Levels of aflatoxins and fumonisins in Maize samples). Can you please advice if Genmode is appropriate and how I can transform the data to fit linear model.