# What are the two quantitative variables?

Table of Contents

## What are the two quantitative variables?

Lesson Summary Age, height, and life expectancy are all examples of quantitative variables. The best way to determine how two variables relate to each other is by plotting the data points on a scatter plot, a graph where each data point is plotted individually.

**What are the two types of qualitative variables?**

Qualitative variables are divided into two types: nominal and ordinal.

**What are the types of variables in quantitative research?**

Quantitative research involves many kinds of variables….There are four main types:

- Independent variables (IV).
- Dependent variables (DV).
- Sample variables.
- Extraneous variables.

### What are the two variables in statistics?

The input variable (or independent variable) is usually denoted by x in mathematics, and the output variable (or dependent variable) by y. The set of all values of x is called the domain and the set of all values of y, the range. As is the case with one variable statistics, the variables can be discrete or continuous.

**How two quantitative variables are related or not?**

Correlation, r, measures the linear association between two quantitative variables. Correlation measures the strength of a linear relationship only. (See the following Scatterplot for display where the correlation is 0 but the two variables are obviously related.)

**What are 2 examples of quantitative data?**

Some examples of quantitative data include:

- Revenue in dollars.
- Weight in kilograms.
- Age in months or years.
- Length in centimeters.
- Distance in kilometers.
- Height in feet or inches.
- Number of weeks in a year.

## What are examples of quantitative variables?

As discussed in the section on variables in Chapter 1, quantitative variables are variables measured on a numeric scale. Height, weight, response time, subjective rating of pain, temperature, and score on an exam are all examples of quantitative variables.

**What are different types of variables?**

Introduction to Types of Variables in Statistics Such variables in statistics are broadly divided into four categories such as independent variables, dependent variables, categorical and continuous variables. Apart from these, quantitative and qualitative variables hold data as nominal, ordinal, interval and ratio.

**What are types of variables?**

Types of variables

- Independent variables. An independent variable is a singular characteristic that the other variables in your experiment cannot change.
- Dependent variables.
- Intervening variables.
- Moderating variables.
- Control variables.
- Extraneous variables.
- Quantitative variables.
- Qualitative variables.

### How do you display two quantitative variables?

A scatterplot is a graph used to display data concerning two quantitative variables. Correlation is a measure of the direction and strength of the relationship between two quantitative variables.

**What is quantitative variable?**

Quantitative Variables – Variables whose values result from counting or measuring something. Examples: height, weight, time in the 100 yard dash, number of items sold to a shopper. Qualitative Variables – Variables that are not measurement variables.

**Which variables can be classified as quantitative?**

Quantitative variables can be further classified as discrete or continuous. If a variable can take on any value between its minimum value and its maximum value, it is called a continuous variable; otherwise, it is called a discrete variable.

## What are various types of variables?

A variable is any factor, trait, or condition that can exist in differing amounts or types. An experiment usually has three kinds of variables: independent, dependent, and controlled. The independent variable is the one that is changed by the scientist.

**What are the types of quantitative data?**

At the highest level, two kinds of data exist: quantitative and qualitative. Quantitative data deals with numbers and things you can measure objectively: dimensions such as height, width, and length. Temperature and humidity.

**What are examples of discrete variables and continuous variables?**

A discrete variable is always numeric. For example, the number of customer complaints or the number of flaws or defects. 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.