Solutions Manual to accompany Business Forecasting with Business ForecastX 6th edition 9780073373645

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Product details:

• ISBN-10 ‏ : ‎ 0073373648
• ISBN-13 ‏ : ‎ 978-0073373645
• Author: Wilson; Keating

The Sixth Edition of Business Forecasting is the most practical forecasting book on the market with the most powerful software—Forecast X. This edition presents a broad-based survey of business forecasting methods including subjective and objective approaches. As always, the author team of Wilson and Keating deliver practical how-to forecasting techniques, along with dozens of real world data sets while theory and math are held to a minimum. This Sixth Edition includes Forecast X software updated for Excel 2007 and Vista. Forecast X is the most comprehensive software tool available in this market and the new version is also backwards compatible for XP Excel 2003 systems. This Excel-based tool effectively uses wizards and many tools to make forecasting easy and understandable.

Table Of Contents:

Title
Contents
1 Introduction to Business Forecasting
Introduction
Comments from the Field
Quantitative Forecasting Has Become Widely Accepted
Forecasting in Business Today
Krispy Kreme
Bell Atlantic
Columbia Gas
Segix Italia
Pharmaceuticals in Singapore
Fiat Auto
Brake Parts, Inc.
Some Global Forecasting Issues: Examples from Ocean Spray Cranberries
Forecasting in the Public and Not-for-Profit Sectors
Forecasting and Supply Chain Management
Collaborative Forecasting
Computer Use and Quantitative Forecasting
Qualitative or Subjective Forecasting Methods
Sales Force Composites
Surveys of Customers and the General Population
Jury of Executive Opinion
The Delphi Method
Some Advantages and Disadvantages of Subjective Methods
New-Product Forecasting
Using Marketing Research to Aid New-Product Forecasting
The Product Life Cycle Concept Aids in New-Product Forecasting
Analog Forecasts
New Product and Penetration Curves for VCR Sales
Test Marketing
Product Clinics
Type of Product Affects New-Product Forecasting
The Bass Model for New-Product Forecasting
Forecasting Sales for New Products That Have Short Product Life Cycles
Two Simple Naive Models
Evaluating Forecasts
Using Multiple Forecasts
Sources of Data
Forecasting Total Houses Sold
Overview of the Text
Comments from the Field
Integrative Case: Forecasting Sales of The Gap
Comments from the Field
John Galt Partial Customer List
An Introduction to ForecastX 7.0
Forecasting with the ForecastX Wizard™
Using the Five Main Tabs on the Opening ForecastX Screen
Suggested Readings and Web Sites
Exercises
2 The Forecast Process, Data Considerations, and Model Selection
Introduction
The Forecast Process
Trend, Seasonal, and Cyclical Data Patterns
Data Patterns and Model Selection
A Statistical Review
Descriptive Statistics
The Normal Distribution
The Student’s t-Distribution
From Sample to Population: Statistical Inference
Hypothesis Testing
Correlation
Correlograms: Another Method of Data Exploration
Total Houses Sold: Exploratory Data Analysis and Model Selection
Business Forecasting: A Process, Not an Application
Integrative Case: The Gap

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