Texas Review of Law & Politics, Volume 20, Number 2, Spring 2016 Page: 224
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Texas Review of Law & Politics
appropriate for relating both continuous measures (such as
undergraduate GPA and LSAT score) and categorical measures
(such as ethnicity) to a continuous measure (such as law school
GPA). Table 6 provides general results of a general linear model
estimating law school GPA with undergraduate GPA, LSAT score,
and ethnicity. Based on these results, ethnicity is not significantly
related to law school GPA after LSAT score and undergraduate
GPA are accounted for.
Table 6. General Linear Model Results for Law School GPA
Source DF F-value P-value
LSAT Score 1 166.71 <.0001
Undergraduate GPA 1 67.23 <.0001
Ethnicity 6 1.63 0.1365
Applying a backward selection method once again, the best
model for law school GPA is provided in Table 7. Only LSAT score
and undergraduate GPA are significantly related to law school GPA.
The R2 of this model is 0.2384, indicating that 23.84% of the
variability in law school GPA is related to LSAT score and
undergraduate GPA.
Table 7. General Linear Model Results for Law School GPA
Source DF F-value P-value
LSAT Score 1 204.54 <.0001
Undergraduate GPA 1 67.69 <.0001
The equation relating LSAT score and undergraduate GPA to
law school GPA is:
Law School GPA = -3.0886 + 0.0338 LSAT + 0.2375 UGPA
where LSAT = LSAT score, and UGPA = undergraduate GPA.
To better understand the relationships of LSAT -score and
undergraduate GPA to law school GPA, Figures 6 and 7Vol. 20
224
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University of Texas at Austin. School of Law. Texas Review of Law & Politics, Volume 20, Number 2, Spring 2016, periodical, March 2016; Austin, Texas. (https://texashistory.unt.edu/ark:/67531/metapth838701/m1/70/: accessed July 17, 2024), University of North Texas Libraries, The Portal to Texas History, https://texashistory.unt.edu; crediting UNT Libraries Government Documents Department.