hw5 - 14 f(x) = 0.2350402309x + 4.0522632721 R =...

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x y x y 34.24 5.49 34.24 12.04 17.12 3.77 17.12 8.4 11.41 3.21 11.41 6.49 8.54 3.03 slope= .0955 8.54 5.98 5.71 2.68 y=2.1838 5.71 5.2 4.27 2.69 4.27 5.31 nbs slope K'm 0.25 31.3 3.36 0.5 40.4 4.34 1 57.7 6.2 0 5 10 15 20 25 30 35 40 0 1 2 3 4 5 6 f(x) = 0.0955495014x + 2.1837968381 R² = 0.996336106 Q11a Column B Linear Regression for Column B [S]^-1 vo^-1 0 5 10 15 20 25 30 35 40 0 2 4 6 8 10 12
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Unformatted text preview: 14 f(x) = 0.2350402309x + 4.0522632721 R = 0.9919610259 Q11 b y Linear Regression for y [S]^-1 vo'^-1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 1.1 1 2 3 4 5 6 7 f(x) = 3.7771428571x + 2.43 Q29a K'm Linear Regression for K'm Nbs K'm...
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This note was uploaded on 12/01/2011 for the course BME 125:306 taught by Professor Berthiaume during the Spring '11 term at Rutgers.

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