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This question is about list of skills.
Logistic regression vs. linear regression
The difference between logistic regression and linear regression is that logistic regression refers to a statistical method used to forecast binary outcomes, while linear regression refers to a statistical method that is utilized to model the dynamic between a dependent variable and one or several independent variables.
Logistic regression is a statistical regression method that is used to predict outcomes that can only come in one of two forms. Examples of these outcomes include yes/no, 0/1, or true/false.
The dependent variable in logistic regression is binary, and the goal of this method is to model the probability of the dependent variable being either 0 or 1 based on the values of one or more independent variables.
Linear regression is a different statistical method that is used to determine the relationship between a dependent variable and one or more independent variables.
The main goal of linear regression is to find the best line that fits the data and information, it is one that can then be used to make predictions about the dependent variable based on the independent variables.
Key Takeaways:
| Logistic regression | Linear regression |
|---|---|
| Logistic regression refers to a statistical method used to forecast binary outcomes. | Linear regression refers to a statistical method that is utilized to model the dynamic between a dependent variable and one or several independent variables. |
| Examples of binary outcomes used in logistic regression include yes/no, 0/1, or true/false. | Linear regression can be used with one independent variable or several independent variables. |
| The logistic regression goal is to model the probability of the dependent variable being either 0 or 1 based on the values of one or more independent variables. | The main goal of linear regression is to find the best line that fits the data and information, it is one that can then be used to make predictions about the dependent variable based on the independent variables. |
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