HW6 - 11.41 Regression Analysis Course Grade versus...

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11.41 Regression Analysis: Course Grade versus Placement Test The regression equation is Course Grade = 32.5 + 0.471 Placement Test Predictor Coef SE Coef T P Constant 32.51 12.64 2.57 0.019 Placement Test 0.4711 0.2182 2.16 0.045 S = 16.1747 R-Sq = 20.6% R-Sq(adj) = 16.2% Analysis of Variance Source DF SS MS F P Regression 1 1219.4 1219.4 4.66 0.045 Residual Error 18 4709.2 261.6 Lack of Fit 6 1688.5 281.4 1.12 0.408 Pure Error 12 3020.7 251.7 Total 19 5928.5 1 rows with no replicates Unusual Observations Placement Course Obs Test Grade Fit SE Fit Residual St Resid 7 35.0 11.00 48.99 5.75 -37.99 -2.51R R denotes an observation with a large standardized residual.
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12.1 Regression Analysis: Chemistry Grade versus Test Score, Classes Missed The regression equation is Chemistry Grade = 27.5 + 0.922 Test Score + 0.284 Classes Missed Predictor Coef SE Coef T P Constant 27.55 12.50 2.20 0.055 Test Score 0.9217 0.1858 4.96 0.001 Classes Missed 0.2842 0.7536 0.38 0.715 S = 4.51730 R-Sq = 74.8%
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This note was uploaded on 01/19/2012 for the course IEN 312 taught by Professor Qiu during the Spring '11 term at University of Miami.

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HW6 - 11.41 Regression Analysis Course Grade versus...

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