Chapter14 - 1 –1(a ˆ y = 10 5 00156 yards(b Predictor Coef SE Coef T P Constant 10.451 2.514 4.16 0.000 yards-0.001565 0.001090-1.43 0.163 S =

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Unformatted text preview: 1 Chapter 14 14–1. (a) ˆ y = 10 . 5- . 00156 yards (b) Predictor Coef SE Coef T P Constant 10.451 2.514 4.16 0.000 yards-0.001565 0.001090-1.43 0.163 S = 3.414 R-Sq = 7.3% R-Sq(adj) = 3.8% Analysis of Variance Source DF SS MS F P Regression 1 23.99 23.99 2.06 0.163 Residual Error 26 302.97 11.65 Total 27 326.96 (c)- . 00380 ≤ β 1 ≤ . 00068 (d) R 2 = 7 . 3% (e) 2 Based on the residual plots there appears to be a severe outlier. This point should be investigated and if necessary, the point removed and the analysis rerun. 14–2. ˆ y = 10 . 5- . 00156(1800) = 7 . 63 or approximately 8. 6 ≤ E ( y | x = 1800) ≤ 9 . 27 14–3. (a) ˆ y = 31 . 6- . 0410 displacement (b) Predictor Coef SE Coef T P Constant 31.648 1.812 17.46 0.000 displace-0.040975 0.005406-7.58 0.000 S = 1.976 R-Sq = 81.5% R-Sq(adj) = 80.1%$ Analysis of Variance Source DF SS MS F P Regression 1 224.43 224.43 57.45 0.000 Residual Error 13 50.79 3.91 Total 14 275.21 (c) R 2 = 81 . 5% (d) ˆ y = 20 . 381, 19 . 374 ≤ E ( y | x = 275) ≤ 21 . 388 3 14–4. ˆ y = 31 . 6- . 0410(275) = 20 . 381, 10 . 37 ≤ E ( y | x = 275) ≤ 21 . 39 14–5. 4 14–6. (a) ˆ y = 13 . 3 + 3 . 32 taxes (b) Predictor Coef SE Coef T P Constant 13.320 2.572 5.18 0.000 taxes 3.3244 0.3903 8.52 0.000 S = 2.961 R-Sq = 76.7% R-Sq(adj) = 75.7% Analysis of Variance Source DF SS MS F P Regression 1 636.16 636.16 72.56 0.000 Residual Error 22 192.89 8.77 Total 23 829.05 (c) 76.7% (d) 5 6...
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This homework help was uploaded on 04/09/2008 for the course ENGR, STAT 320, 262, taught by Professor Harris during the Spring '08 term at Purdue University-West Lafayette.

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Chapter14 - 1 –1(a ˆ y = 10 5 00156 yards(b Predictor Coef SE Coef T P Constant 10.451 2.514 4.16 0.000 yards-0.001565 0.001090-1.43 0.163 S =

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