Time Series Forecasting Using Multiple Linear Regression Model

Forecast general trends with details on sectoral trends including Banking & Health care for planning and forecasting purposes.

This will allow the detection of events that are not commonly observed, such as changes in the market, that would facilitate a prompt response.

Provide information useful to the financial institutions to help the institution to invest better and manage risks.

Assist organizations in deploying available resources in the correct proportions about anticipated demand levels.

Support analytical decisions in such fields as telecoms, technology, and insurance industries.

Identify trends for the upcoming periods to develop advertising and/or sales strategies.

Compare the accuracy levels of various predictive models to identify how well they match the various tasks.

Understand how the market will behave to be in a position to attend to customers effectively and efficiently.

Implement this approach to detect anomalies in key operations to minimize or reduce the chances of system failure.

Extend these methods to other sectors such as retail and manufacturing.