Summary: APPLIED REGRESSION ANALYSIS focuses on the application of regression to real data and examples while employing commercial statistical and spreadsheet software. Designed for both business/economics undergraduates and MBAs, this text provides all of the core regression topics as well as optional topics including ANOVA, Time Series Forecasting, and Discriminant Analysis. While only a prior introductory statistics course is required, a review of all necessary basic stat
istics is provided in chapter 2. The text emphasizes the importance of understanding the assumptions of the regression model, knowing how to validate a selected model for these assumptions, knowing when and how regression might be useful in a business setting, and understanding and interpreting output from statistical packages and spreadsheets.
Summary: APPLIED REGRESSION ANALYSIS focuses on the application of regression to real data and examples while employing commercial statistical and spreadsheet software. Designed for both business/economics undergraduates and MBAs, this text provides all of the core regression topics as well as optional topics including ANOVA, Time Series Forecasting, and Discriminant Analysis. While only a prior introductory statistics course is required, a review of all necessary basic statistics is provided in chapter 2. The text emphasizes the importance of understanding the assumptions of the regression model, knowing how to validate a selected model for these assumptions, knowing when and how regression might be useful in a business setting, and understanding and interpreting output from statistical packages and spreadsheets. ...show less
Introduction / Descriptive Statistics / Discrete Random Variables and Probability Distributions / The Normal Distribution / Populations, Samples, and Sampling Distributions / Estimating a Population Mean / Hypothesis Tests About a Population Mean / Estimating the Difference Between Two Population Means / Hypothesis Tests
About the Difference Between Two Population Means.
3. Simple Regression Analysis.
Using Simple Regression to Describe a Linear Relationship / Examples of Regression as a Descriptive Technique / Inferences from a Simple Regression Analysis / Assessing the Fit of the Regression Line / Prediction or Forecasting with a Simple Linear Regression Equation. Fitting a Linear Trend to Time-Series Data / Some Cautions in Interpreting Regression Results.
4. Multiple Regression Analysis.
Using Multiple Regression to Describe a Linear Relationship / Inferences from a Multiple Regression Analysis / Assessing the Fit of the Regression Line / Comparing Two Regression Models / Prediction with a Multiple Regression Equation / Multicollinearity: A Potential Problem in Multiple Regression / Lagged Variables as Explanatory Variables in Time-Series Regression.
5. Fitting Curves to Data.
Introduction / Fitting Curvilinear Relationships.
6. Assessing the Assumptions of the Regression Model.
Introduction. Assumptions of the Multiple Linear Regression Model / The Regression Residuals / Assessing the Assumption That the Relationship is Linear / Assessing the Assumption That the Variance Around the Regression Line is Constant / Assessing the Assumption That the Disturbances are Normally Distributed / Influential observations / Assessing the Influence That the Disturbances are Independent.
7. Using Indicator and Interaction Variables.
Using and Interpreting Indicator Variables / Interaction Variables / Seasonal Effects in Time-Series Regression.
8. Variable Selection.
Introduction. All Possible Regressions. Other Variable Selection Techniques / Which Variable Selection Procedure is Best?
9. An Introduction to Analysis of Variance.
One-Way Analysis of Variance. Analysis of Variance Using a Randomized Block Design / Two-Way Analysis of Variance / Analysis of Covariance.
10. Qualitative Dependent Variables: An Introduction to Discriminant Analysis and Logistic Regression.
APPENDICES. A: Summation Notation. B: Statistical Tables. C: A Brief Introduction to MINITAB, Microsoft Excel, and SAS. D: Matrices and their Application to Regression Analysis. E: Solutions to Selected Odd-Numbered Exercises. References / Index.
Free Shipping Get Free Shipping on orders over $25 (not including Rental and Marketplace). Order arrives in 5-10 business days.
Need it faster? We offer fast, flat-rate expedited shipping options.
Not the right book for you? We'll gladly take it back within 30 days.
To return an eTextbook:
Your eTextbook is non-returnable once it's been activated. You must contact us about returning your eTextbook before you activate it.
Returns are accepted within 30 days of the purchase date on your order confirmation.
This book qualifies for guaranteed cash back! Buy it now for , then:
Sell it back by:
Guaranteed cash back:
Cost of this book after cash back:
Take advantage of Guaranteed Cash Back. Send your book to us in good condition before the end of the buyback period, we'll send YOU a check, and you'll pay less for your textbooks!
If you find this book for less on Amazon.com (direct from Amazon, not marketplace sellers), we'll match it.
In our warehouse, waiting to ship directly to you.
We hand-inspect every used textbook to make sure it's in good condition.
Buy it now. Sell it later!
Sell this textbook for cash!
When you're done with this book, sell it back to Textbooks.com. In addition to the best possible buyback price, you'll get an extra 10% cash back just for being a customer.
We buy good-condition used textbooks year 'round, 24/7. No matter where you bought it, Textbooks.com will buy your textbooks for the most cash.
We hand-inspect every one of our used textbooks to ensure good condition.
Our used textbooks do NOT have:
Missing or torn pages
Missing or torn cover
Torn or damaged binding
A broken spine
This textbook has never been used.
Due to the size of eTextbooks, a high-speed internet connection (cable modem, DSL, LAN) is required for download stability and speed. Your connection can be wired or wireless.
Being online is not required for reading an eTextbook after successfully downloading it. You must only be connected to the Internet duringthe download process.
XP or Windows 7 (32 or 64 running in 32 bit mode), or Mac OS 10.6 or above
At least 512 MB RAM, 600 mHZ processor, and 40 MB of hard drive space (75MB for Mac OS)
What is the Marketplace? It's another way for you to get the right price on the books you need. We approved every Marketplace vendor to sell their books on Textbooks.com, so you know they're all reliable.
What are Marketplace shipping options? Marketplace items do not qualify for free shipping. When ordering from the Marketplace, please specify whether you want the seller to send your book Standard ($3.99/item) or Express ($6.99/item). To get free shipping over $25, just order directly from Textbooks.com instead of through the Marketplace.
FREE UPS 2nd Day Air Terms
Rental and Marketplace items are excluded. Offer is valid from 1/21/2013 12:00PM to 1/23/2013 11:59AM CST. Your order must be placed by 12 Noon CST to be processed on the same day. Minimum order value is $100.00 excluding Rental and Marketplace items. To redeem this offer, select "FREE UPS 2ND DAY AIR" at checkout. Offer not is not valid on previous orders.