Class 6 - reg_demo

# Class 6 - reg_demo - Guess 0 75.83 R-square = 0 4230.5...

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Guess Page 1 Slope = 0 Intercept = 75.83 R-square = 0 SSE= 4230.5 Change values for Slope and Intercept Example 9.1, Canavos & Miller, pg. 397 Temp. Kilowatts Y-hat Y Line Residual -1 94 75.83 18.17 330.03 1.5 81 75.83 5.17 26.69 3.5 79 75.83 3.17 10.03 -3 97 75.83 21.17 448.03 0.5 88 75.83 12.17 148.03 2.5 75 75.83 -0.83 0.69 4 74 75.83 -1.83 3.36 5 67 75.83 -8.83 78.03 -5 107 75.83 31.17 971.36 -0.5 86 75.83 10.17 103.36 9 58 75.83 -17.83 318.03 9.5 55 75.83 -20.83 434.03 7 65 75.83 -10.83 117.36 3 73 75.83 -2.83 8.03 -2 91 75.83 15.17 230.03 6 65 75.83 -10.83 117.36 8 58 75.83 -17.83 318.03 10 52 75.83 -23.83 568.03 1365 4230.5 = SSE = Sum of Squares Error 4230.5 = SST = Sum of Squares Total 3.22 75.83 = Mean 0 = SSR = Sum of Squares Regression X ( o C) Residual 2 -5 -3 -1 1 3 0 20 40 60 80 100 120

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Guess Page 2 5 7 9 Y Line
Fixed Line Page 3 Fitted Slope = 6.59 Fitted Intercept = 6.77 R-square = 0.68 MSE = 4.98 True Phenomenon Slope = 3 Intercept = 10 Hit F9 to get a a new set of sample data from the phenomenon

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## This note was uploaded on 06/20/2011 for the course MGMT 524 taught by Professor Andrews,r during the Spring '08 term at VCU.

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Class 6 - reg_demo - Guess 0 75.83 R-square = 0 4230.5...

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