Explanation: Age is measured in units that, if precise enough, could be any number. Therefore the set they come from is infinite. … **We could be infinitly accurate and use an infinite number of decimal places**, therefore making age continuous.

## Is age in years a continuous variable?

Technically speaking, **age is a continuous variable** because it can take on any value with any number of decimal places. If you know someone’s birth date, you can calculate their exact age including years, months, weeks, days, hours, seconds, etc. so it’s possible to say that someone is 6.225549 years old.

## Is age numerical continuous data?

Age is, **technically, continuous and ratio**. A person’s age does, after all, have a meaningful zero point (birth) and is continuous if you measure it precisely enough. It is meaningful to say that someone (or something) is 7.28 year old.

## Is year a continuous data?

**Yes**. Not only can you use “year” as a contiuous variable in your model ” you should use it like that! Start with plotting the response by year in a scatterplot. … In a GLM, the variable “year” will be associated with one or more coefficients that should have an interpretable meaning in the functional model.

## Is age range continuous or discrete?

Age is measured in units that, if precise enough, could be any number. Therefore the **set they come from is infinite**. For example, someone could be 22.32698457 years old or 22.32698459 years old. We could be infinitly accurate and use an infinite number of decimal places, therefore making age continuous.

## Is salary continuous or discrete?

For example, salary levels and performance classifications are **discrete variables**, whereas height and weight are continuous variables.

## Is age categorical or numerical data?

In statistics, there are broadly 2 types of variables: Numerical variables: Numbers which should be treated as they usually are in mathematics. For example, age and weight **would be considered numerical variables**, while phone number and ZIP code would not be considered numerical variables.

## Is annual income continuous or discrete?

An annual income of a person is a **discrete variable**.

## What is an example of continuous data?

Continuous data is data that can take any value. **Height, weight, temperature and length** are all examples of continuous data. Some continuous data will change over time; the weight of a baby in its first year or the temperature in a room throughout the day.

## What is not continuous data?

**A discrete variable** is a kind of statistics variable that can only take on discrete specific values. The variable is not continuous, which means there are infinitely many values between the maximum and minimum that just cannot be attained, no matter what.

## How do you know if data is discrete or continuous?

**Discrete data** is a numerical type of data that includes whole, concrete numbers with specific and fixed data values determined by counting. Continuous data includes complex numbers and varying data values that are measured over a specific time interval.

## Is gender a continuous variable?

**Gender can be a continuous variable**, not just a categorical one : Comment on Hyde, Bigler, Joel, Tate and van Anders (2019) Page 2 GENDER CAN BE A CONTINUOUS VARIABLE, NOT JUST A CATEGORICAL ONE 2 Abstract Hyde et al.

## What are the 2 types of quantitative data?

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.

## Is birth month discrete or continuous?

Since there are exactly 12 possible birth months, it **is discrete**, and can be categorical. It is qualitative, as it describes an attribute or quality of the subject, namely the birth month.

## Is gender continuous or discrete?

## Is time a discrete or continuous?

Time is **a continuous variable**. You could turn age into a discrete variable and then you could count it. For example: A person’s age in years.