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Business Statistics for Competitive Advantage with Excel 2016

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Cover of 'Business Statistics for Competitive Advantage with Excel 2016'

Table of Contents

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    Book Overview
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    Chapter 1 Statistics for Decision Making and Competitive Advantage
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    Chapter 2 Describing Your Data
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    Chapter 3 Hypothesis Tests, Confidence Intervals to Infer Population Characteristics and Differences
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    Chapter 4 Simulation to Infer Future Performance Levels Given Assumptions
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    Chapter 5 Simple Regression for Long Range Forecasts
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    Chapter 6 Consolidating Multiple Naïve Forecasts with Monte Carlo
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    Chapter 7 Presenting Statistical Analysis Results to Management
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    Chapter 8 Finance Application: Portfolio Analysis with a Market Index as a Leading Indicator in Simple Linear Regression
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    Chapter 9 Association Between Two Categorical Variables: Contingency Analysis with Chi Square
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    Chapter 10 Building Multiple Regression Models
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    Chapter 11 Indicator Variables
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    Chapter 12 Model Building and Forecasting with Multicollinear Time Series
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    Chapter 13 Nonlinear Multiple Regression Models
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    Chapter 14 Nonlinear Explanatory Multiple Regression Models
Attention for Chapter 5: Simple Regression for Long Range Forecasts
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Chapter title
Simple Regression for Long Range Forecasts
Chapter number 5
Book title
Business Statistics for Competitive Advantage with Excel 2016
Published by
Springer, Cham, January 2016
DOI 10.1007/978-3-319-32185-1_5
Book ISBNs
978-3-31-932184-4, 978-3-31-932185-1
Authors

Cynthia Fraser

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