A university medical center urology group was interested in modeling prostate-specific antigen (PSA) and a number of prognostic clinical measurements in men with advanced prostate cancer. Data were collected on 97 men who were about to undergo radical prostectomies.
www.stat.ufl.edu/~athienit/STA6166/assignment3_1.txt
Each line of the data set ha an identification number and provides information on 8 other variables

Develop a " best" model for predicting PSA and interpret.

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Variable Number Variable Name Description ID number PSA level 1-97 Serum prostate-specific antigen level (mg/ml) Estimate of prostate cancer volume (cc) Prostate weight (gramms) Age of patient (years) Amount of benign prostatic hyperplasia (cm2) Cancer volume Weight Benign prostatic hyperplasia Seminal vesicle in- Presence of seminal vesicle invasion: 1 yes; 0 otherwise Degree of capsular penetration (cm) Capsular penetra- tion Gleason score Pathologically determined grade of disease. (Scores were either 6, 7, or 8 with higher scores indicating worse prognosis