Linear forecasting models can be used in both types of forecasting methods. In the case of causal methods, the causal model may consist of a linear regression with several explanatory variables.

Business forecasting using historical data is tricky business. Past performance is not necessarily a good indicator of future performance. In other words, you shouldn't forecast more than 10 ...

You can use linear regression to compare two or more variables, such as a specific stock with a benchmark, to determine their dependence, which can help make certain investment decisions.

xkcd #2048 is exceptionally relevant to this. Doing linear regression well with a big dataset is difficult! I do this all the time at work and honestly I often show a scatter plot without any ...

Regression Using the GLM, CATMOD, LOGISTIC, PROBIT, and LIFEREG Procedures . The GLM procedure fits general linear models to data, and it can perform regression, analysis of variance, analysis of ...