A Forecasting Model for Newspaper Management

Abstract

In a period of change in the newspaper industry, publishers and editors need as much information as possible before making decisions. Today's managers supplement their knowledge and experience with forecasts, which are systematic ways of predicting future values based on past data. This study focuses on the assumptions of regression analysis as a common method of forecasting and discusses solutions for possible problems.