Automated multiple regression model-building techniques often hide important aspects of data from the data analyst. Such features as nonlinearity, collinearity, outliers, and points with high leverage ...

Simple linear regression is commonly used in forecasting and financial analysis—for a company to tell how a change in the GDP could affect sales, for example. Microsoft Excel and other software ...

In simple linear regression, the relationships between small data sets are assumed to fall along a straight line on a chart. Machine learning would help minimize errors and predict unknown points ...