Datafiles
- Inflation_2016 Download .TXT file Open in Data Desk ?
- Methods: Regression
- Source: http://inflationdata.com/Inflation/Consumer_Price_Index/HistoricalCPI.aspx?reloaded=true#Table
- Number of Cases: 21
- Excerpt: The U.S. Consumer Price Index and year, every 5 years since 1916. These are the values for January of each year. What is the trend? Can we model it with a linear regression?
- Inflation_2020 Download .TXT file Open in Data Desk ?
- Methods: Outliers, Re-expression, Regression, Residuals
- Source: http://inflationdata.com/Inflation/Consumer_Price_Index/HistoricalCPI.aspx?reloaded=true#Table
- Number of Cases: 22
- Excerpt: The U.S. Consumer Price Index and year, every 5 years since 1916. These are the values for January of each year. What is the trend? Can we model it with a linear regression?
- Insurance_life_expectancy Download .TXT file Open in Data Desk ?
- Methods: Multiple Regression
- Source: unknown
- Number of Cases: 50
- Excerpt:
- Insurance_policies Download .TXT file Open in Data Desk ?
- Methods: Regression, Correlation, Scatterplot
- Source: unknown
- Number of Cases: 200
- Excerpt:
- Insurance_profits Download .TXT file Open in Data Desk ?
- Methods: Displaying Quantitative Data, Summarizing Quantitative Data
- Source: unknown
- Number of Cases: 98
- Excerpt:
- Insurance_profits_sales_rep Download .TXT file Open in Data Desk ?
- Methods: Confidence Intervals for Means, Hypothesis Tests
- Source: random sample 30 insurance policy profits
- Number of Cases: 30
- Excerpt:
- Interest_rates_2009 Download .TXT file Open in Data Desk ?
- Methods: Time Series Analysis
- Source: unknown
- Number of Cases: 62
- Excerpt: Average annual interest rates (banksprime lending) in the United States from 1966 through 2009
- Interest_rates_and_mortgages Download .TXT file Open in Data Desk ?
- Methods: Nonparametric Methods
- Source: www.freddiemac.com/pmms/pmms30.htm and www.federalreserve.gov/econresdata/releases/mortoutstand/current.htmhttps://www.federalreserve.gov/econresdata/releases/mortoutstand/current.htm
- Number of Cases: 26
- Excerpt: The amount charged for mortgages may be related to the total value of mortgage loans in the US. Can that relationship be modeled? Does it depend as well on the year? Consider a rotating plot of interest rate, mortgage total, and year.
- Interest_rates_and_mortgages_2015 Download .TXT file Open in Data Desk ?
- Methods: Correlation, Regression, Scatterplot
- Source: www.freddiemac.com/pmms/pmms30.htm and www.federalreserve.gov/econresdata/releases/mortoutstand/current.htmhttps://www.federalreserve.gov/econresdata/releases/mortoutstand/current.htm
- Number of Cases: 31
- Excerpt: The amount charged for mortgages may be related to the total value of mortgage loans in the US. Can that relationship be modeled? Does it depend as well on the year? Consider a rotating plot of interest rate, mortgage total, and year.
- Interest_rates_and_mortgages_2020 Download .TXT file Open in Data Desk ?
- Methods: Correlation, R-squared, Re-expression, Regression, Residuals, Scatterplot
- Source: www.freddiemac.com/pmms/pmms30.htm and www.federalreserve.gov/econresdata/releases/mortoutstand/current.htm https://www.federalreserve.gov/data.htm
- Number of Cases: 35
- Excerpt: The amount charged for mortgages may be related to the total value of mortgage loans in the US. Can that relationship be modeled? Does it depend as well on the year? Consider a rotating plot of interest rate, mortgage total, and year.
- Internet_users_2014 Download .TXT file Open in Data Desk ?
- Methods: Regression
- Source: http://mdgs.un.org/unsd/mdg/Data.aspx
- Number of Cases: 70
- Excerpt:
- iPod_failures Download .TXT file Open in Data Desk ?
- Methods: Displaying Quantitative Data, Summarizing Quantitative Data
- Source: www.macintouch.com/reliability/ipodfailures.html
- Number of Cases: 17
- Excerpt: