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What is regression ?
This data analysis api allows you to determine which contributing variables have the most effect on an outcome. For example, does
buyer location or
price have the most effect on sales ?
Mathematically, this is known as regression analysis.
Who uses regression analysis ?
Regression analysis is used widely. Health services and insurance companies use it, for example to try to discover the relative effects of obesity, age, sex and occupation on the likelihood of contracting a certain disease.
Climate change scientists use it to try to determine how change is driven by Carbon Dioxide, Methane and Nitrogen Dioxide.
Sports managers employ regression analyst consultants to help decide how to spread investment between players, training and management.
Business use
A typical business use would be to analyse sales data. By feeding the data for sales which might include the date, item category, discount, buyer's location and advertising regime into a model, a seller will get an idea of how important each of the variables is to the sales figures.
How to use the api
To use the api you first create a CSV file of your data. You then POST the json-encoded data to the api endpoint, along with the name of the outcome field.
The api returns:
- a text summary
- a pdf containing plots for each variable
- the normalized regression coefficients
Full details and sample code are available here.
Register for an api key here.
regression api listing on programmable web
regression api listing on swagger