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SAT Scores Vs. Acceptance Rates
Beginning of Essay
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, I will determine wh .... Middle of Essay
.... 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
R= -.683 R^2=.466
The power regression seems to be the better model for the experiment that I have
chosen. There is a higher correlation in the power transformation than ther ....
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Words: 767 - Pages: 3
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