Datafiles
- Housing_prices_GE19 Download .TXT file Open in Data Desk ?
- Methods: Multiple Regression
- Source: random sample of 1734 houses taken from full Saratoga Housing Data (De Veaux)
- Number of Cases: 1734
- Excerpt: House prices and properties in New York. What properties of a house can predict its price? Can we use such a model to identify houses that are extraordinarily expensive or inexpensive?
- How_old_is_that_Tree Download .TXT file Open in Data Desk ?
- Methods: Correlation, Re-expression, Regression
- Source: unknown
- Number of Cases: 27
- Excerpt: One can determine how old a tree is by counting its rings, but that requires either cutting the tree down or extracting a sample from the tree’s core. Can we estimate the tree’s age simply from its diameter?A forester measured 27 trees of the same species that had been cut down, and counted the rings […]
- Hurricane_frequencies Download .TXT file Open in Data Desk ?
- Methods: Chi Square Tests
- Source: http://www.aoml.noaa.gov/hrd/hurdat/All_U.S._Hurricanes.html
- Number of Cases: 16
- Excerpt: The National Hurricane Center lists the numbers of large (category 3, 4, or 5) hurricanes that have struck the United States by decade since 1851. The data are given here.
- Hurricane_frequencies_2024 Download .TXT file Open in Data Desk ?
- Methods:
- Source:
- Number of Cases:
- Excerpt:
- Hurricane_frequencies_2024 Download .TXT file Open in Data Desk ?
- Methods: Chi Square Tests
- Source: http://www.aoml.noaa.gov/hrd/hurdat/All_U.S._Hurricanes.html
- Number of Cases: 17
- Excerpt: The National Hurricane Center lists the numbers of large (category 3, 4, or 5) hurricanes that have struck the United States by decade since 1851. The data are given here.
- Hurricane_history Download .TXT file Open in Data Desk ?
- Methods: Displaying Quantitative Data, Summarizing Quantitative Data, Comparing Two Groups
- Source: https://en.wikipedia.org/wiki/Atlantic_hurricane_season#2000s_2
- Number of Cases: 168
- Excerpt:
- Hurricanes 2024 Download .TXT file Open in Data Desk ?
- Methods: Regression, Residuals
- Source: http://www.aoml.noaa.gov/hrd/hurdat/All_U.S._Hurricanes.html
- Number of Cases: 342
- Excerpt: The barometric pressure at the center of a hurricane is often used to measurethe strength of the hurricane because it can predict the maximum wind speedof the storm. How well is the wind speed predicted by the barometric pressure?The data record all hurricanes on record 1851 – 2023.
- Hurricanes_2015 Download .TXT file Open in Data Desk ?
- Methods: Indicator Variables, Multiple Regression, Partial Regression Plots, Regression
- Source: http://www.aoml.noaa.gov/hrd/hurdat/All_U.S._Hurricanes.html
- Number of Cases: 227
- Excerpt: The barometric pressure at the center of a hurricane is often used to measurethe strength of the hurricane because it can predict the maximum wind speed of the storm. How well is the wind speed predicted by the barometric pressure?
- Hurricanes_2018 Download .TXT file Open in Data Desk ?
- Methods: R-squared, Regression, Residuals
- Source: http://www.aoml.noaa.gov/hrd/hurdat/All_U.S._Hurricanes.html
- Number of Cases: 233
- Excerpt: The barometric pressure at the center of a hurricane is often used to measure the strength of the hurricane because it can predict the maximum wind speed of the storm. How well is the wind speed predicted by the barometric pressure?
- Hurricanes_2024 Download .TXT file Open in Data Desk ?
- Methods: Regression
- Source: http://www.aoml.noaa.gov/hrd/hurdat/All_U.S._Hurricanes.html
- Number of Cases: 339
- Excerpt: The barometric pressure at the center of a hurricane is often used to measurethe strength of the hurricane because it can predict the maximum wind speedof the storm. How well is the wind speed predicted by the barometric pressure?The data record all hurricanes on record 1851 – 2023.
- Igf Download .TXT file Open in Data Desk ?
- Methods: Multiple Regression
- Source: J. Clin. Endocrinol. Metab. 78(3) 744-752, March, 1994
- Number of Cases: 1334
- Excerpt: This study includes measurements on people of various ages. The main variable of interest is the level of insulin-like growth factor (igƒ) (J. Clin. Endocrinol. Metab. 78(3): 744–752, March 1994). Each row in the data set corresponds to one individual.
- Igf13 Download .TXT file Open in Data Desk ?
- Methods: Multiple Regression
- Source: J. Clin. Endocrinol. Metab. 78(3) 744-752, March, 1994
- Number of Cases: 710
- Excerpt: This study includes measurements on children under 13 years of age. Most of the data was collected from physical examinations in schools. The main variable of interest is the level of insulin-like growth factor (igƒ) (J. Clin. Endocrinol. Metab. 78(3): 744–752, March 1994). Each row in the data set corresponds to one individual.