Multiple Linear Regression

Cheng-Few Lee, John C. Lee and Alice C. Lee
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Cheng-Few Lee: Rutgers University Business School, Department of Finance and Economics
John C. Lee: Center for PBBEF Research

Chapter Chapter 15 in Statistics for Business and Financial Economics, 2013, pp 739-792 from Springer

Abstract: Abstract Chapters 13 and 14 examined in detail the simple regression model with one independent variable (such as amount of fertilizer) and one dependent variable (such as yield of corn). In many cases, however, more than one factor can affect the outcome under study. In addition to fertilizer, rainfall and temperature certainly influence the yield of corn. In business, not only rates of return for the stock market at large affect the return on General Motors or Ford stock. Other variables, such as leverage ratio, payout ratio, and dividend yield also contribute. Therefore, regression analysis with more than one independent variable is an important analytical tool.

Keywords: Multiple Regression Model; Prediction Interval; Simple Regression; Joint Significance; Sales Representative (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4614-5897-5_15

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DOI: 10.1007/978-1-4614-5897-5_15

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