Erickson-4.30, 4.33-jan10

Erickson-4.30, 4.33-jan10 - 16.45 Year 18 2.31 7.79...

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April Erickson Chapter 4 Problems: 4.30 and 4.33 13-Jan-10 4.30) y=36 + 4.3x a) 36 + 4.3(70) 337 b) 36 + 4.3(80) 380 c) 36 + 4.3(90) 423 4.33) Year Transistors 1 140 2 160 3 190 4 200 5 210 a) Linear Regression - see next tab b)
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SUMMARY OUTPUT Regression Statistics Multiple R 0.98 R Square 0.95 Adjusted R Square 0.94 Standard Error 7.3 Observations 5 ANOVA df SS MS Regression 1 3240 3240 Residual 3 160 53.33 Total 4 3400 Coefficients Standard Error t Stat Intercept 126 7.66
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Unformatted text preview: 16.45 Year 18 2.31 7.79 RESIDUAL OUTPUT Observation Predicted Transistors Residuals Standard Residuals 1 144-4-0.63 2 162-2-0.32 3 180 10 1.58 4 198 2 0.32 5 216-6-0.95 F Significance F 60.75 P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% 101.62 150.38 101.62 150.38 10.65 25.35 10.65 25.35 Residuals 2 4 6 8 10 12 5 10 15 Year Residual Plot Year s...
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This note was uploaded on 05/22/2010 for the course SCI 123 taught by Professor Smith during the Spring '10 term at Kirkwood Community College.

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Erickson-4.30, 4.33-jan10 - 16.45 Year 18 2.31 7.79...

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