A-Z Popular Blog Top Search »
Related Topics
Data Analysis

9 Examples of Regression Analysis

 , updated on
Regression analysis is a statistical method that investigates the relationships between variables. The output of a regression analysis is typically a graph showing the relationship between variables, or an equation for such a graph.


In any regression analysis there is a dependent variable and one or more independent variables. The dependent variable is the thing that you expect might change when you change the independent variables. The following are illustrative examples:
Analysis: How fast a plant grows in different soils.

Dependent variable: growth rate of plant

Independent variable: soil type
Analysis: How income rises or falls with age.

Dependent variable: income

Independent variable: age
Analysis: The relationship between how much it rains and how fast corn grows.

Dependent variable: growth rate of corn

Independent variable: amount of rain
Analysis: How temperate influences ice cream sales.

Dependent variable: ice cream sales

Independent variable: daily average temperature
Analysis: How much does advertising increase sales?

Dependent variable: sales

Independent variable: advertising spend
Analysis: The relationship between the price of a product and demand for that product.

Dependent variable: demand

Independent variable: price
Analysis: Does social media make people unhappy?

Dependent variable: self-reported happiness

Independent variable: hours spent in social media per week
Analysis: The relationship between level of education and income.

Dependent variable: income

Independent variable: level of education
Analysis: The relationship, if any, between the color of a room and people's self-reported mood.

Dependent variable: self-reported mood

Independent variable: room color


Regression analysis is used to develop estimates, predictions and forecasts. It can also be used in the process of establishing a relationship of cause and effect between variables. Automated regression analysis is used by technologies such as machine learning.
Overview: Regression Analysis
A statistical method of investigating the relationship between dependent and independent variables..
Analysis of data
Related Techniques
Next: Data Dredging
More about statistical analysis:
Data Science
Exponential Growth
Large Numbers
Misuse of Statistics
Negative Correlation
Positive Correlation
Regression Analysis
Statistical Model
Structured Data
More ...
If you enjoyed this page, please consider bookmarking Simplicable.

Statistical Analysis

A list of basic statistical analysis techniques.

Cohort Analysis

An overview of cohort analysis.


A definition of analytics with examples.

Continuous Data vs Discrete Data

The difference between continuous and discrete data.

Hypothesis Types

The common types of hypothesis with examples.

Negative Correlation

The definition of negative correlation with examples.


The common types of error with examples.

Structured Data

An overview of structured data with examples.

Management Accounting

A list of management accounting examples.

Theory Of Constraints

A management approach that examines the constraints that are holding an organization back.

Target Costing

A definition of target costing with examples.

Continuous Improvement

A definition of continuous improvement with examples.

Takt Time

An overview of takt time with calculation formula and example.

Lead Time vs Cycle Time

The difference between lead time and cycle time explained with an example.

Productivity Formula

How to calculate productivity with 3 examples.

Complexity Cost

A definition of complexity cost with examples.

Run Rate

The definition of run rate with calculation examples.

Managerial Economics

The definition of managerial economics with examples.
The most popular articles on Simplicable in the past day.

New Articles

Recent posts or updates on Simplicable.
Site Map