This is a short summary of the paper
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SAT Scores Vs. Acceptance Rates
Start of Term Paper
The experiment must fulfill two goals: (1) to produce a professional
report of your experiment, and (2) to show your understanding of the topics
related to least squares regression as described in Moore & McCabe, Chapter 2.
In this experiment, .... Middle of Term Paper
... a scatterplot and decided to cut it down to
12 universities by throwing out odd data.
A scatterplot of the 12 universities data is on the following page (page 2)
The linear regression equation is:
ACCEPTANCE = 212.5 + -.134 * SAT_SCORE
R= -.632 R^2=.399
I plugged in the data into my calculator, and did the various regressions. I
saw that the power regression had the best correlation of the non-linear
transformations.
A scatterplot of the transformation can be seen on page 4.
The Power Regression Equation is
ACCEPTANCE RATE=(2.475x10^23)(SAT SCORE)^-7.002
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| Number of Words: 767 |
Approximate Pages: 3 |
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