Types of Outputs¶

Quantum XL handles Quantitative, Binary, and Nominal outputs. The type of output affects the analysis performed. Quantitative outputs are analyzed with Ordinary Least Squares (OLS) regression. Binary outputs are analyzed with Binary Logistic regression. Finally, Nominal outputs are modeled with Nominal Logistic regression.

Analysis Methods In Quantum XL¶

Types of Outputs

Quantitative Outputs: Outputs which are a direct measurement, such as temperature, pressure, and humidity. For more information on Quantitative vs. Categorical, see this section.
Binary Outputs: Binary outputs are categorical which have two possible results. Examples are Male/Female, Pass/Fail, and Right/Wrong. If there are three or more possible values then the output isn't binary.
Nominal Outputs: Nominal outputs are categorical outputs which can be two or more possible values. Examples include color (red, green, blue, orange), day of week (Monday through Friday), and Continents (Europe, Asia, North America, ...). Note: While technically you can perform Nominal regression on binary responses, it is preferred to use Binary.