Skip to main content

Simple Linear Regression

  • Chapter
  • First Online:
Practical Business Analytics Using R and Python

Abstract

Imagine you are a business investor and want to invest in startup ventures that are likely to be highly profitable. What are all the factors you evaluate in the companies you want to invest in? Maybe it’s the innovativeness of the products of the startups, or maybe it’s the past success records of the promoters. In this case, we say the profitability of the venture is dependent on or associated with the innovativeness of the products and past success records of the promoters. The innovativeness of the product itself may be associated with various aspects or factors, such as usefulness of the product, competition in the market, and so on. These factors may be a little difficult to gauge, but the past success record of the company can easily be found from publicly available market data. If the promoter had started 10 ventures and 8 were successful, we can say that the success rate of the promoter is 80 percent.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 44.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 59.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2023 Umesh R. Hodeghatta, Ph.D and Umesha Nayak

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Hodeghatta, U.R., Nayak, U. (2023). Simple Linear Regression. In: Practical Business Analytics Using R and Python. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-8754-5_7

Download citation

Publish with us

Policies and ethics