Simple Linear Regression
The Linear regression is a statistical process which tempts to model, through the straight line equation, the relationship between two variables, one dependent
and another called explanatory or independent. The equation is: Y = mx + b , where: "m" is the slope of the straight line, and "b", the point
where the line cuts the Y axis .
In the Simple Linear Regression, the independent variables are used to predict the results of another, usually called Y. However, for the Multiple linear regressions, is used more than one independent variable.
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