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Showing 1 to 15 of 190 data sets matching regression
Data Set/Description Share Owner Last edited Size Views
Section E Cleaned Regression Data (cleaned again 11/30 10:57 PM)yesmath.ralphNov 30, 20165KB218
Section N Cleaned Regression Data (cleaned 4th time, 11:30 AM 11/30)yesmath.ralphNov 30, 20165KB179
stat regression greg danica alixyesdstone5@villanova.eduNov 20, 201611KB96
Cleansed Regression Data D (Fall 2016)yesducayra@miamioh.eduNov 19, 20165KB279
Movie Budgets and Box Office Earnings (Updated Fall 2016)
This data all comes from the following website the tracks the financial performance of movies:
http://www.the-numbers.com/movie/budgets/all

The “Budget”, “Domestic Gross”, and “Worldwide Gross” columns each are in millions of dollars.

yesntorno8Oct 7, 2016266KB857
Roller Coasters Data
This dataset looks at some of the roller coasters across the US and various other countries.
ColumnDescription
NameName of roller coaster
ParkAmusement park for roller coaster
CityCity for amusement park
StateState abbreviation
CountryCountry of the roller coaster. US: United States, MX: Mexico, CR: Costa Rica, GT: Guatemala, CO: Columbia, VE: Venezuela, BR: Brazil, AR: Argentina, CL: Chile, EQ: Ecuador, PE: Peru, F: France, D: Germany
TypeS: Steel, W: Wood
ConstructorType of build for the roller coaster
HeightHeight in meters
SpeedSpeed in miles per hour (mph)
LengthLength in meters
InversionsYes if there are inversions, no if not
DurationDuration of ride in seconds
GForceMax g-force
OpenedYear it opened
RegionGeographic region for the roller coaster
yesntorno8Sep 15, 201648KB10730
MLB Home Attendance vs. Runs Scored 2015
This data comes from the 2015 baseball season and tracks the number of home games, the total attendance at home games, the number of runs scored by that team, the runs scored on that team, the league they play in, and the number of wins the team recorded in the regular season.
yesfrompearsonbooksJun 14, 20161KB719
Times World University Rankings (2011-2016)
This data comes from the annual Times magazine rankings of universities across the world. The webpage for the Times 2016 rankings is listed above in the source.
The formula for the 2016 rankings is as follows:
30% for Teaching Rating
7.5% for International Outlook Rating
30% for Research Rating
30% for Citations Rating
2.5% for Industry Income Rating.
The “Total Score” from 2016 can be recreated using this formula.

ColumnDescription
World_RankUniversity rank for a given year
University_NameThe name of the university
CountryLocation of university
Teaching_Rating Rating from a 0-100 scale of the quality of teaching at the university. This rating is based on the institution’s reputation for teaching, it’s student/staff ratio, it’s PhD’s/ undergraduate degrees awarded ratio, and it’s institutional income/ academic staff ratio.
Inter_Outlook_Rating Rating from a 0-100 scale of the international makeup of a university. This rating is based the international student percentage, international staff percentage, and the percentage of research papers from the university that include at least one international author.
Research_Rating Rating from a 0-100 scale of quality of research at the university. This rating is based on the university’s reputation, it’s research income/ academic staff ratio, and it’s production of scholarly papers.
Citations_Rating Rating from a 0-100 scale of based on the normalized average of citations by other papers per paper from the university (how often the research from the university is cited by other papers).
Industry_Income_Rating Rating from a 0-100 scale grading how much companies are willing to invest in the universities research. The rating is calculated based on the research income from businesses per academic staff member.
Total_ScoreThe final score used to determine the university ranking based on Teaching_Rating, International_Outlook_Rating, Research_Rating, Citations_Rating, and Industrial_Income_Rating.
Num_StudentsTotal number of students in a given year
Student/Staff_RatioNumber of students per academic staff member
%_Inter_StudentsPercentage of student body who come from a foreign county
%_Female_Students Percentage of student body that is female.
YearAcademic year that the ranking was released. For example, 2016 denotes the 2015-2016 academic year.
yesstatcrunchhelpApr 5, 2016254KB1389
Top 100 Retailers 2015
This dataset comes from the National Retail Federation and tracks the top retail chains in the US for 2015 based on their 2014 sales. The original data can be found at the webpage listed as the source. Note that these retailer include all sorts of avenues including internet sales.
yesstatcrunchhelpMar 14, 20167KB1674
California Home Prices, 2009
This dataset is a collection of real estate listings from San Luis Obispo county, California, and some locations around it from 2009. The prices are their list price at the creation of this dataset. For more information about this data, go to the website source listed above.
yesstatcrunchhelpMar 11, 201646KB1118
National Longitudinal Youth Survey
The Youth survey consists of a nationally representative sample of youths who were 14 to 20 years old as of December 31, 1999.
This dataset tracks the Age, Height (in inches), Weight (in pounds), Gender, and the self reported "How would you describe your weight?" multiple choice answers for the individuals.
yesstatcrunchhelpMar 8, 2016330KB673
Body Temperature
Data taken from the Journal of Statistics Education online data archive. That archive in turn got the data from an article in the Journal of the American Medical Association. (Mackowiak, et al., "A Critical Appraisal of 98.6 Degrees F …", vol. 268, pp. 1578-80, 1992).
"Body Temp" is measured in degrees fahrenheit
"Heart rate" is the resting beats per minute
yesstatcrunchhelpMar 8, 20162KB1797
Regression and Correlation worksheet.xlsx
M4_Regression and Correlation
yeshollypetFeb 3, 2016139B659
Federal Food Assistance Participation
This primarily comes from the following source: United States Department of Agriculture: Food and Nutrition Service . This dataset also incorporates data from another StatCrunch dataset: US Workforce Participation

ColumnDescription
YearThe year for each data value
Average Federal Food Assistance Participation in ThousandsNumber of individuals in the US who took part in SNAP (Supplemental Nutrition Assistance Program) during the given year.
% US Population on Federal Food Assitance% of US population that is currently in the SNAP program and is receiving aid with food.
Change of % (US Population on Federal Food Assistance)The change in the percentage of the US population that is receiving food assistance from SNAP.
Presidential ControlPolitical party of president.
Senate ControlPolitical party of the Senate majority
House ControlPolitical party of the House of Representatives majority.
Legislative Branch (House and Senate)Combined control of Senate and House of Representativs
Male Inactivity Rate Aged 25-54Defined as the proportion of the male population aged 25-54 that is not in the labour force. Common reasons for leaving labour force: college, retirement, stay at home, can't find work and no longer try.
Change of Rate (Male Inactivity Rate Aged 25-54)The change in the inactivity rate calculated as the current year minus the previous year.
Female Inactivity Rate Aged 25-54Defined as the proportion of the female population aged 25-54 that is not in the labour force.
Change of Rate (Female Inactivity Rate Aged 25-54)The change in the inactivity rate calculated as the current year minus the previous year.
Annual Average Workforce Participation RateDefined by the Bureau of Labor Statistics as "the percentage of the population [16 years and older] that is either employed or unemployed (that is, either working or actively seeking work). Note that 2015's Annual Average is calculated using the first 11 months."
Change of Rate (Annual Workforce Participation Rate)The change in the workforce participation rate calculated as the current year minus the previous year.
yesstatcrunchhelpJan 8, 201610KB822
Text Messaging Activityyes12266555_ecollege_kentmlpSep 26, 20152KB1667

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