# Regression Analysis Microsoft Excel

• 出版商:
• 出版日期: 2016-05-06
• 售價: \$1,510
• 貴賓價: 9.5\$1,435
• 語言: 英文
• 頁數: 368
• 裝訂: Paperback
• ISBN: 0789756552
• ISBN-13: 9780789756558
• 相關分類:
• 無法訂購

## 商品描述

This is today’s most complete guide to regression analysis with Microsoft® Excel for any business analytics or research task. Drawing on 25 years of advanced statistical experience, Microsoft MVP Conrad Carlberg shows how to use Excel’s regression-related worksheet functions to perform a wide spectrum of practical analyses.

Carlberg clearly explains all the theory you’ll need to avoid mistakes, understand what your regressions are really doing, and evaluate analyses performed by others. From simple correlations and t-tests through multiple analysis of covariance, Carlberg offers hands-on, step-by-step walkthroughs using meaningful examples.

He discusses the consequences of using each option and argument, points out idiosyncrasies and controversies associated with Excel’s regression functions, and shows how to use them reliably in fields ranging from medical research to financial analysis to operations.

You don’t need expensive software or a doctorate in statistics to work with regression analyses. Microsoft Excel has all the tools you need—and this book has all the knowledge!

• Understand what regression analysis can and can’t do, and why
• Work with correlation and simple regression
• Make the most of Excel’s improved LINEST() function
• Plan and perform multiple regression
• Distinguish the assumptions that matter from the ones that don’t
• Add covariates to your analysis to reduce bias and increase statistical power

## 商品描述(中文翻譯)

Carlberg清楚地解釋了所有你需要了解的理論，以避免錯誤，了解你的迴歸分析的真正作用，並評估他人進行的分析。從簡單的相關性和t檢驗到多元共變異分析，Carlberg提供了有意義的實例進行逐步操作的實用指南。

- 理解迴歸分析的能力和限制，以及原因
- 掌握內建在最新版本的Excel中的基於迴歸的函數
- 使用相關性和簡單迴歸進行分析
- 充分利用Excel改進的LINEST()函數
- 計劃並執行多元迴歸分析
- 區分重要的假設和不重要的假設
- 通過使用迴歸而不是傳統變異數分析來擴展分析選項
- 添加共變量到分析中以減少偏差並增加統計功效