Linear regression is an algorithm that is used to visualize the relationship between two variables. The two variables which are used in this algorithm are the independent and dependent variables.

The independent variable is the variable that is not impacted by the other variable. When adjustments are made in this variable, the levels of the dependent variable will fluctuate.

The dependent variable is the variable that is being studied, and is what the regression model attempts to predict.

The relationship between the input variables (X) which is the dependent variable and the target variables (Y) which is the independent variable…

Nwosu Rosemary

Data Scientist || Machine Learning enthusiast and hobbyist

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