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Unformatted text preview: regression line ;y=b0+b1*x1+b2*x2+b3*x 3 & partial test model y=x1 x2 x3; a1: test x2=x3= ; a2: test x2,x3; a3: test x2= ,x3= ; a4: test x2=x3; a5: test x2=x3= 1 ; a6: test x2+x3= 1 ; RUN ; X ¶ “ ‰ “ \ & — ø W ¸ & SAS ‘ » & P computes predicted values R produces analysis of residuals CLB computes (1-alpha)% confidence limits for the parameter estimates CLI computes (1-alpha)% confidence limits for an individual predicted value CLM computes (1-alpha) % confidence limits for the expected value of the dependent variable...
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This note was uploaded on 06/06/2011 for the course STAT 4230 taught by Professor Yin during the Spring '11 term at UGA.
- Spring '11
- Regression Analysis