Datafiles

  • Oil_prices_2016 Download .TXT file Open in Data Desk ?
  • Methods: Regression
  • Source: http://www.eia.gov/dnav/pet/pet_pri_spt_s1_a.htm
  • Number of Cases: 50
  • Excerpt: The price (per barrel) of oil has fluctuated over time. Various attempts to model it are generally not successful. The data include both the inflation-adjusted prices of a barrel of oil from 1968 to 2016 and two prediction models.


  • Oil_Prices_2024 Download .TXT file Open in Data Desk ?
  • Methods: Regression
  • Source: http://www.eia.gov/dnav/pet/pet_pri_spt_s1_a.htm
  • Number of Cases: 39
  • Excerpt: The price (per barrel) of oil has fluctuated over time. Various attempts to model it are generally not successful. The data include both the inflation-adjusted prices of a barrel of oil from 1987 to 2025.


  • Oil_prices_monthly Download .TXT file Open in Data Desk ?
  • Methods: Time Series Analysis
  • Source: http://www.eia.gov/dnav/pet/pet_pri_spt_s1_a.htm
  • Number of Cases: 75
  • Excerpt: The price (per barrel) of oil has fluctuated over time. Various attempts to model it are generally not successful. The data include the monthly crude oil price in $/barrel from January 2001 to March 2007.




  • Old_Faithful Download .TXT file Open in Data Desk ?
  • Methods: Correlation, Data Display, Inference, Re-expression, Regression, Summaries
  • Source: unknown
  • Number of Cases: 222
  • Excerpt: It is a common belief that Yellowstone’s most famous geyser erupts once an hour at very predictable intervals. But, in fact, the intervals between eruptions can vary greatly. Can we predict the interval from, for example, the duration of the previous eruption? Are there other patterns in the data worth noting?


  • Old_Faithful_2020 Download .TXT file Open in Data Desk ?
  • Methods: Confidence Intervals for Means
  • Source: https://geysertimes.org/retrieve.php
  • Number of Cases: 383
  • Excerpt: It is a common belief that Yellowstone’s most famous geyser erupts once an hour at very predictable intervals. But, in fact, the intervals between eruptions can vary greatly. Can we predict the interval from, for example, the duration of the previous eruption? Are there other patterns in the data worth noting?




  • Olympic_jumps_2016 Download .TXT file Open in Data Desk ?
  • Methods: Correlation, Re-expression, Regression
  • Source: various
  • Number of Cases: 27
  • Excerpt: How are Olympic performances in various events related? The data gives winning long-jump and high-jump distances in meters, for the Summer Olympics from 1912 through 2016






  • Oranges Download .TXT file Open in Data Desk ?
  • Methods: Outliers, Re-expression, Regression, Residuals
  • Source: unknown
  • Number of Cases: 14
  • Excerpt: As the number of oranges on a tree increases, the fruit tends to get smaller. The dataset gives numbers of oranges/tree and average weight/orange (in pounds).


  • Ozone Download .TXT file Open in Data Desk ?
  • Methods: Boxplots, Displaying Quantitative Data, Regression, Summarizing Quantitative Data
  • Source: Cleveland W. Kleiner B. Mc Rae J. Warner J. "The Analysis of Ground-level ozone data from New Jersey, New York, Connecticut, and Massachusetts: Data quality Assessment and Temporal and Geographical Properties"
  • Number of Cases: 546
  • Excerpt: Ozone levels (in parts per billion, ppb) were recorded at sites in New Jersey monthly between 1926 and 1971. Here are boxplots of the data for each month (over the 46 years), lined up in order (January = 1):