It can be highly beneficial for companies to develop a forecast of the future values of some important metrics, such as demand for its product or variables that describe the economic climate. There ...

Regression analysis is a method of determining the relationship between two sets of variables when one set is dependent on the other. In business, regression analysis can be used to calculate how ...

Fuzzy regression models extend traditional statistical regression by integrating fuzzy set theory to better handle imprecision and uncertainty inherent in many real-world data sets. These models ...

Crane, D. B., and James R. Crotty. "A Two-Stage Forecasting Model: Exponential Smoothing and Multiple Regression." Management Science 13, no. 8 (April 1966).

Real-world predictive data mining (classification or regression) problems are often cost sensitive, meaning that different types of prediction errors are not equally costly. While cost-sensitive ...

Excel forecasting is a crucial skill for analysts aiming to boost productivity, cut costs, and enhance customer satisfaction. By harnessing Excel’s powerful forecasting tools, you can generate precise ...

Looking to establish relationships in your data? Regression analysis can help. Machine learning can be a gateway to improved pattern recognition in your data. But to walk through that gateway, ...

Regression: Fits a line to a set of historical data points to minimize the sum of the squares of the distances of the data points to the line. For example, if the line expresses the relationship ...