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SAT Scores Vs. Acceptance Rates
Part 1 of Paper
....d (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 whether or not there is a relationship
between average SAT scores of incoming freshmen versus the acceptance rate of
applicants at top universities in the co.... Part 2 of Paper
.... 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 there is
in the linear regression model. The R for the linear model is -.632 and the R in
the power transform.... |
| Number of words: 767 - Approximate pages: 3 |
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