# Quiz4a_KEY_Sp10 - Name 26 February 2010 IE330 Spring 2010...

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Name: ____________________________________________ 26 February 2010 IE330 Spring 2010 Closed book, closed notes, no calculators Quiz #5a ( 29 ( 29 ( 29 ( 29 /2 / 2 1 1 2 2 1 2 /2 1 2 1 2 1 1 2 2 1 2 1 2 1 /2 1 2 Confidence interval formulae: / / / / / / ˆ ˆ ˆ ˆ 1 1 ˆ ˆ ˆ ˆ ˆ ˆ 1 1 ˆ ˆ X Z n X Z n X Z n X t s n X t s n X t s n p p p p p p z p p n n p p p p p p p p z n n α α α α α α α α σ σ σ - ± - + ± - + - - - + + - - - - - + + ( 29 ( 29 ( 29 1 2 0 1 2 0 0 0 1 2 1 2 1 2 1 2 * 0 1 2 0 0 0 1 2 2 2 1 1 2 2 2 1 2 1 2 0 1 2 Some helpful test statistics: / 1 1 1 1 2 ˆ ˆ 1 1 ˆ ˆ 1 D p p X X X X Z T s s n n n n D X X T T S n S n n n S n S S n n P P Z P P n n σ σ - - ∆ - - ∆ = = + + - ∆ - - ∆ = = + - + - = + - - = - +

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Name: ____________________________________________ For each of the questions on the back side of this sheet, refer to the following regression: Regression Analysis: y1 versus x1 The regression equation is y1 = 5.37 + 6.01 x1 Predictor Coef SE Coef T P Constant 5.367 2.201 2.44 0.021 x1 6.010 4.507 1.33 0.193 S = 4.19438 R-Sq = 6.0% R-Sq(adj) = 2.6% Analysis of Variance Source DF SS MS F P Regression 1 31.29 31.29 1.78 0.193 Residual Error 28 492.60 17.59 Total 29 523.89 Unusual Observations Obs x1 y1 Fit SE Fit Residual St Resid 15 0.614 19.478 9.056 1.040 10.421 2.56R R denotes an observation with a large standardized residual. 10 5 0 -5 -10 99 90 50 10 1 Residual Percent 10 9 8 7 10 5 0 -5 -10 Fitted Value Residual 10.0 7.5
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