rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Learn about multiple regression with dummy variables in Stata with data from the Canadian Fuel Consumption Report (2015)
  name:
    name part: Reid, Abigail-Kate
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Allum, Nick
    role:
      role term: author.
  name:
    name part: Howard W. Odum Institute for Research in Social Science
    role:
      role term: author.
  type of resource: text
  genre: statistics
  origin info:
    place:
      place term: enk
    date issued: 2019
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource : illustrations
  abstract: This dataset is designed for teaching multiple regression with dummy variables. The dataset is a subset of data derived from the 2015 Fuel Consumption Report from Natural Resources Canada, and the example presents an analysis of whether the size of an automobile's engine and whether that engine has 4, 6, or 8 cylinders predicts the CO2 emissions of that automobile. The dataset file is accompanied by a Teaching Guide, a Student Guide, and a How-to Guide for Stata. The Student Guide and data curation were done by the Odum Institute, and the How-to Guide was co-authored by Abigail-Kate Reid and Nick Allum.
  target audience: specialized
  note: Abigail-Kate Reid, Nick Allum, The Odum Institute.
  subject:
    geographic code: n-cn---
  subject:
    title info:
      title: Stata
  subject:
    name:
      name part: Canada.
      name part: Natural Resources Canada.
  subject:
    name:
      name part: Canada.
      name part: Natural Resources Canada
  subject:
    title info:
      title: Stata
  subject:
    topic: Regression analysis
    topic: Study and teaching
  subject:
    topic: Multiple comparisons (Statistics)
    topic: Study and teaching
  subject:
    topic: Dummy variables
  subject:
    topic: Automobiles
    topic: Fuel consumption
  subject:
    topic: Analyse de régression
    topic: Étude et enseignement
  subject:
    topic: Corrélation multiple (Statistique)
    topic: Étude et enseignement
  subject:
    topic: Variables muettes
  subject:
    topic: Automobiles
    topic: Carburants
    topic: Consommation
  subject:
    topic: Automobiles
    topic: Fuel consumption
  subject:
    topic: Dummy variables
  classification: QA278.2 .R45 2019
  classification: 519.536
  identifier: 9781526469946
  identifier: 1526469944
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: SGPBL
    record creation date: 190116
    record change date: 20240923170236.0
    record identifier: in00005493686
    language of cataloging:
      language term: eng