@article{1469461,
      recid = {1469461},
      author = {McGibney, Daniel P.,},
      title = {Applied linear regression for business analytics with R :  a practical guide to data science with case studies /},
      pages = {1 online resource.},
      abstract = {Applied Linear Regression for Business Analytics with R  introduces regression analysis to business students using  the R programming language with a focus on illustrating and  solving real-time, topical problems. Specifically, this  book presents modern and relevant case studies from the  business world, along with clear and concise explanations  of the theory, intuition, hands-on examples, and the coding  required to employ regression modeling. Each chapter  includes the mathematical formulation and details of  regression analysis and provides in-depth practical  analysis using the R programming language.},
      url = {http://library.usi.edu/record/1469461},
      doi = {https://doi.org/10.1007/978-3-031-21480-6},
}