Examples
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
Dependent variable: growth rate of plant
Independent variable: soil type
Analysis: How income rises or falls with age.
Dependent variable: income
Independent variable: 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
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
Dependent variable: ice cream sales
Independent variable: daily average temperature
Analysis: How much does advertising increase sales?
Dependent variable: sales
Independent variable: advertising spend
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
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
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
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
Dependent variable: self-reported mood
Independent variable: room color
Use
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 | ||
Function | ||
Definition | A statistical method of investigating the relationship between dependent and independent variables.. | |
Value | Analysis of data | |
Related Techniques |