There are many types of regression models. Some of the most common types are linear models, logistic regression, and generalized linear models.
The following are some of the benefits of using regression models:
Predicting future outcomes
Identifying potential risk factors for certain events
Identifying patterns in data that might not be visible otherwise
Improving customer satisfaction
To describe the relationships between a group of independent factors and the dependent variable, use regression analysis. Regression analysis yields a regression equation, the coefficients of which show the connection between each independent variable and the dependent variable.
where is the finaldata.csv
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