This chapter concerns itself with the development of a regression model for determining the executive compensation of the AT&T CEO. The data observations for this model consist of a list of 21 comparable companies selected by the compensation committee of AT&T, its institutional investors, and...

This chapter develops a regression model structure based on the 34 peer companies of Verizon and their associated financial performance variables. Based on the regression model developed, the compensation level of the CEO of Verizon is determined.

Forecasting is an important tool used to plan and evaluate business operations. Regression analysis is one of the most commonly used forecasting techniques for this purpose. Often forecasts are produced based on a set of comparable units such as individuals, groups, departments, or companies...

In view of the failure of high-profile companies such as Circuit City and Linens n Things, Financial distress or bankruptcy prediction of retail and other firms has generated much interest recently. Recent economic conditions have led to predictions of a wave of retail bankruptcies (e.g.,...