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Re: Einstein (OT); was, re: Help with Binary Logistic Regression

Posted by Hector Maletta on Jan 24, 2007; 2:01pm
URL: http://spssx-discussion.165.s1.nabble.com/Help-with-Binary-Logistic-Regression-tp1073387p1073397.html

        You're probably right. The urban legend refers to a Dr Cooper,
introducer of aerobic exercise and still living, not to J.Fixx who advocated
jogging. I mistakenly wrote about aerobism when I should have written
jogging. My example was right after all.

        Hector

        -----Mensaje original-----
De: SPSSX(r) Discussion [mailto:[hidden email]] En nombre de David
Wasserman
Enviado el: 24 January 2007 02:16
Para: [hidden email]
Asunto: Re: Einstein (OT); was, re: Help with Binary Logistic Regression

        If you were referring to Jim Fixx, whose "Complete Book of Running"
        propelled jogging to new heights of popularity, he did die of a
heart attack
        at 52.  I remember reading the news stories at the time, and I have
found no
        on-line resources to contradict it.  If you're referring to someone
else, I
        can't help restore your example.

        David Wasserman
        Custom Data Analysis and SPSS Programming

        ----- Original Message -----
        From: "Hector Maletta" <[hidden email]>
        To: <[hidden email]>
        Sent: Tuesday, January 23, 2007 6:59 PM
        Subject: Re: Einstein (OT); was, re: Help with Binary Logistic
Regression


        >        I stand corrected. The point was, however, that he was
denied
        > access
        > to the Universitat and had to go to the Hochschule, due to
negative
        > reports
        > from his high school teachers. He was also a rather erratic
teenager, e.g.
        > taking a year out of school to wander in a bike through the
country, not
        > the
        > usual mark of an overachiever.
        >        By the way, I had been informed by a list member that the
aerobism
        > inventor did not die while exercising: his supposed death is
apparently
        > just
        > another urban legend.
        >        So much for my examples, of which only Winston Churchill
survives.
        > Fortunately, my point did not depend on those particular (and
avowedly
        > poorly researched) examples.
        >
        >        Hector
        >
        >
        >        -----Mensaje original-----
        > De: SPSSX(r) Discussion [mailto:[hidden email]] En
nombre de
        > Richard Ristow
        > Enviado el: 23 January 2007 21:54
        > Para: [hidden email]
        > Asunto: Einstein (OT); was, re: Help with Binary Logistic
Regression
        >
        >        At 01:35 PM 1/23/2007, Hector Maletta wrote:
        >
        >        >Another example is Albert Einstein: barely
        >        >passing high school, was judged not to be
        >        >university material, and only made it to a
        >        >vocational polytechnical school,
        >
        >        Granted on a lot of counts, but his scientific
        >        education was at a higher level than that. The
        >        Eidgenössische Technische Hochschule Zürich,
        >        though the literal English of "Technische
        >        Hochschule" is "technical high school", is a
        >        high-level scientific institution. (In terms of
        >        the United States educational system, "Technische
        >        Hochschule" translates more or less as "institute
        >        of technology", as in "Massachusetts Institute of
Technology.")
        >
        >        The ETH had apparently not reached that level
        >        when Einstein was there. (From the Wikipedia
        >        article on the ETH: "In 1909, the course program
        >        of the ETH was restructured to that of a real
        >        university, and the ETH was granted the right to
        >        award doctorates.") Though Einstein did study at
        >        the ETH, his doctorate (per the Wikipedia article
        >        on Einstein) was from the University of Zürich, in 1905.
        >
        >        We now return you to SPSS and statistical matters.
        >