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SAT Scores Vs. Acceptance Rates Beginning of 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, I will determine whether or not there i .... Middle of Paper .... (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 R= -.683 R^2=.466 The power regression seems to be .... 767 words | 3 pages Subscription Length Price Join 30 days membership (recurring) $19.95 90 days membership (recurring) $39.95 180 days membership (non-recurring) $69.95