when and why do you use regression
A regression is used to examine the relationship between an independent variable and the dependent variables. Basically a regression statistics can be used to predict the dependent variable when the independent variable is known. A regression line is the least squares line a plot of the expected value of the dependent variable for all values of the independent variable. The regression line is the one that best fits the data on a scatter plot.A regression analysis is widely used for prediction and forecasting, where its use has substantial overlap with the field of machine learning and is also used to understand which among the independent variables are related to the dependent variable, and to explore the forms of these relationships.
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