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Senior Medical Students
a Professor of Anatomy Wanted to Develop β\beta

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Senior Medical Students
A professor of Anatomy wanted to develop a multiple regression model to predict the students' grades in her fourth-year medical course.She decides that the two most important factors are the student's grade point average in the first three years and the student's major.She proposes the model y = β\beta 0 + β\beta 1x1 + β\beta 2x2 + β\beta 3x3 + ε\varepsilon ,where y = Fourth-year medical course final score (out of 100),x1 = G.P.A.in first three years (range from 0 to 12),x2 = 1 if student's major is medicine and 0 if not,and x3 = 1 if student's major is biology and 0 if not.The computer output is shown below.
THE REGRESSION EQUATION IS
y = 9.14 + 6.73x1 + 10.42x2 + 5.16x3
 Predictor  Coef  StDev T Constant 9.147.101.287x16.731.913.524x210.424.162.505x35.163.931.313\begin{array} { | c | c c c | } \hline \text { Predictor } & \text { Coef } & \text { StDev } & T \\\hline \text { Constant } & 9.14 & 7.10 & 1.287 \\\boldsymbol { x } _ { 1 } & 6.73 & 1.91 & 3.524 \\\boldsymbol { x } _ { 2 } & 10.42 & 4.16 & 2.505 \\\boldsymbol {x } _ { 3 } & 5.16 & 3.93 & 1.313 \\\hline\end{array} S=15.0RSq=44.2%S = 15.0 \quad R - S q = 44.2 \% ANALYSIS OF VARIANCE
 Source of Variation df SS MSF Regression 3170985699.33325.386 Error 9621553224.510 Total 9938651\begin{array}{l|ccccc}\text { Source of Variation } & d f & \text { SS } & M S & F \\\hline \text { Regression } & 3 & 17098 & 5699.333 & 25.386 \\\text { Error } & 96 & 21553 & 224.510 & \\\hline \text { Total } & 99 & 38651 & &\end{array}

-(Senior Medical Students Narrative)Predict the final grade (out of 100)in the fourth-year medical course for an anatomy major student who has a 10.95 G.P.A.in their first three years (range from 0 to 12).


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Openness

One of the five major dimensions of personality, characterized by an appreciation for art, emotion, adventure, unusual ideas, imagination, curiosity, and variety of experience.

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Relating to or involving the imagination or original ideas, especially in the production of an artistic work.

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