The statement which is not true of logistic regression is: a. Outcomes need to be categorical nominal.
A logistic regression can be defined as a predictive analysis that can be used to model the probability of a categorical event or class existing.
Basically, a logistic regression is a classification model that can be used to predict a dependent data variable (binary outcome) by analyzing the relationship existing between one or more independent data variables.
Some of the characteristics of logistic regression include the following:
There must be interaction terms in a logistic regression model.The strength of results in a logistic regression model can be expressed using odds ratios (OR).The underlying equation (math) can be used to model the probability of a specific outcome occurring.A logistic regression model must contain a categorical data such as: pass or fail, good or bad, tall or short, alive or dead, yes or no, win or lose, etc.In conclusion, the outcome of a logistic regression model need not to be categorical but a nominal data (binary outcome).
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Which of the following words mean "to attribute to someone"?
intuitive
inconsequential
impute
inevitable
Answer: Third option, impute.
Explanation: The word impute is used to "assign" value to something or represent something as being done or possessed by someone, and is usually used for negative things (the crimes imputed to James ), impute is a synonym of attribute, so the right option would be the third option "impute"