• Linear regression

    • http://people.hofstra.edu/faculty/Stefan_Waner/RealWorld/calctopic1/regression.html. Example purporting to show how demand for new homes depends on price, with linear model. Made up numbers, but not badly done.

    • http://noppa5.pc.helsinki.fi/koe/corr/cor7.html

    • filebox.vt.edu/users/jemarsh2/LectureNotes/Ch10Examples.pdf Leaning tower of Pisa data, some made up examples on SAT scores to predict GPA. I have been unable to find the source of the Pisa numbers. They stop in 1987. The tower was stabilized in 1999-2001.

      Here is raw data about the tower of Pisa - pisaData.xls - and a spreadsheet with a regression study - pisaRegression.xls.

    • The link http://www.dartmouth.edu/~matc/math30/CourseTopics.html led me to the web site lib.stat.cmu.edu.. There are lots of data sets there, but the site is VERY SLOW.

      Here's one example: alcoholTobacco.txt.

  • Auto depreciation calculator: http://www.ncbuy.com/auto/calc.html?show=1007. (Thanks to Michael Grohall). Could use this to compare with proportional depreciation with constant proportions. This is nearly that, except for the big hit in the first year.

  • Darrell Huffs famous How to lie with statistics (cheap, at Amazon.com)

    How to lie with statistics. UC SantaCruz environmental toxicology course

  • Constructing a histogram in Excel: www.geocities.com/calculatorhelp/excel_histograms.htm

  • Energy overview - go to Table 1.1 to download Excel spreadsheet. www.eia.doe.gov/emeu/aer/overview.html

  • 2005 energy flow www.eia.doe.gov/emeu/aer/pdf/pages/sec1_3.pdf

  • Hyperinflation.

  • www.fueleconomy.gov/feg/driveHabits.shtml. (Thanks to ... for finding this site.)

  • Weighted averages in Excel. www.meadinkent.co.uk/xlwtdavg.htm

  • Income distribution.

    Most of these could be considered "liberal," "Democratic." "left wing" analyses. That might be my bias, or the bias of people who post on the web - or it might just be a correct assessment of what's happening.

    • http://www.lcurve.org/

    • Two short videos, one from the previous site http://infosthetics.com/archives/2007/03/us_income_distribution_movie.html

    • wikipedia - lots of numbers here ...

    • http://www.uwec.edu/Geography/Ivogeler/w111/greedy.htm

    • http://www.taxfoundation.org/ This one expresses a slightly different view, starting (presumably) with the same raw data. See particularly Tax and Spend: Who Wins?

  • The Skeptical Optimist - a well written relatively conservative blog on economic policy.

  • The number of words in English and some other interesting numbers.

  • http://swivel.com/, http://www.nationmaster.com - lots of data!

  • www.units-of-measure.com/

  • 2005 Christian Science Monitor article on tv power consumption www.csmonitor.com/2005/0616/p13s02-stct.html. Here's a local, text only version.

    michaelbluejay.com/electricity/

  • Lots of sound advice and statistics about gambling at this on line gambling site: wizardofodds.com/ . Visit, read, don't play ... .

  • Housing opportunity index: www.nahb.org/generic.aspx?sectionID=135&genericContentID=533
    The Housing Opportunity Index (HOI) for a given area is defined as the share of homes sold in that area that would have been affordable to a family earning the local median income based on standard mortgage underwriting criteria. Therefore, there are really two major components -- income and housing cost. For income, NAHB uses the annual median family income estimates for metropolitan areas published by the Department of Housing and Urban Development. NAHB assumes that a family can afford to spend 28 percent of its gross income on housing; this is a conventional assumption in the lending industry. That share of median income is then divided by twelve to arrive at a monthly figure.
    Here's downloaded data and a link to more.