Logistic Regression
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Anexas is a consulting organization based in Denmark with wide presence in India and offices in UAE, Kingdom of Saudi Arabia, Singapore and Canada. Anexas group comprises of Anexas Denmark in Europe, Anexas FZE in UAE, Anexas Consultancy Pvt ltd in India and Anexas Consulting in Middle East.

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Logistic Regression

Logistic Regression

Logistic Regression:-

Logistic regression is a statistical technique used to predict probability of binary response based on one or more independent variables. It means that, given a certain factors, logistic regression is used to predict an outcome, which has two values such as 0 or 1, pass or fail, yes or no etc.

Binary Logistic Regression:-

Binary logistic regression examines the relationship between one or more X variables and a categorical response with two categories.

The output of the process is measured in Attribute data such as Pass/Fail or Yes/No. This requires a completely different regression approach, called Binary Logistic Regression.

Binary logistic regression is used to predict the odds of being a case based on the values of the independent variables (predictors). ... Like other forms of regression analysis, logistic regression makes use of one or more predictor variables that may be either continuous or categorical.

Also the output of the process can be measured in Attribute data into more than two categories, such as poor, good, and excellent, or north, south, east, and west. This requires a completely different regression approach, called Ordinal, Nominal Logistic Regression.

Ordinal Logistic regression:-

Ordinal logistic regression examines the relationship between one or more predictors and an ordinal response. Ordinal variables are categorical variables that have three or more levels with a natural ordering, such as strongly disagree, disagree, neutral, agree, and strongly agree, or small, medium and large

Nominal Logistic Regression:-

Nominal logistic regression examines the relationship between one or more X variables and a categorical response with three or more categories that do not follow a natural order. A response has three or more outcomes that do not have an order, such as scratch, dent and tear.

Categories for the response cannot be arranged from least to greatest such as automotive company want to know whether the color of the vehicle that consumers purchase is related to their gender or age. Because the colors of the vehicles cannot be arranged from least to greatest, the response categories do not follow a natural order.

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