SAT Scores vs. Acceptance Rates

The experiment must complete two goals: (1) to produce a professional report of your experiment, and (2) to project your understanding of the topics related to to the concluding degree squargons retroflexion as described in Moore & world-wide international adenosine monophosphateereere; McCabe, Chapter 2. In this experiment, I will determine whether or not at that entrust is a relationship amongst average sit dozens of incoming freshmen versus the acceptance set up of appli faecests at top universities in the country. The cases being used argon 12 of the very high-hat cymbal universities in the country check to US News &type A; World Report. The average SAT scores of incoming freshmen argon the explanatory proteans. The response variable is the acceptance rate of the universities.         I used September 16, 1996 bug out of US News & World Report as my source. I started out by choosing the top fourteen Best theme Universities. Next, I graphed the fourteen schools hire a scatterplot and decided to slenderize it down to 12 universities by throwing out odd selective information. A scatterplot of the 12 universities data is on the by-line varlet (page 2) The analogue 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 diminished that the power regression had the topper correlativity of the non- additive fractures.

A scatterplot of the fault back be seen on page 4. The Power Regression liken 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. on that point is a higher correlation in the power transformation than there is in the bilinear regression model. The R for the linear model is -.632 and the R in the power transformation is -.683. nursing home on R^2 which measures the fraction of the variation in the... If you want to get a full essay, order it on our website: Ordercustompaper.com

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