UF-ESI-6321-13-06-01

UF-ESI-6321-13-06-01 - (c) beta-hat_2 = 44.08 s.e. = 7.54...

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x^2 x y y^ y - y^ (y - y^)^2 y^ - y- (y^ - y-)^2 0.25 0.5 5.9 6.75 -0.85 0.72 -17.19 295.56 0.36 0.6 8.9 7.11 1.79 3.22 -16.83 283.36 0.49 0.7 7.1 8.35 -1.25 1.55 -15.59 243.16 0.64 0.8 10.1 10.47 -0.37 0.14 -13.47 181.5 0.81 0.9 15.9 13.47 2.43 5.9 -10.47 109.6 1 1 14.8 17.36 -2.56 6.53 -6.58 43.35 1.21 1.1 23.3 22.12 1.18 1.39 -1.82 3.31 1.44 1.2 28.2 27.77 0.43 0.19 3.83 14.67 1.69 1.3 31.3 34.3 -3 9 10.36 107.31 1.96 1.4 44.8 41.71 3.09 9.55 17.77 315.78 2.25 1.5 49.1 50 -0.9 0.82 26.06 679.27 -44.9 44.08 18.18 0 38.99 -23.94 2276.86 15.22 7.54 7.13 (rounds to 0) 0.98 2.21 #N/A 228.26 8 #N/A y-bar: y- = 2224.76 38.99 #N/A 23.94 It seems that A13 and B13 are in the opposite order… (a) (b) Source d.f. SS MS p-val Reg 2 2276.86 1138.43 233.61 0 Err 8 38.99 4.87 Tot 10 2315.85 Page 596: use k = 2 for the quadratic regression model; x2 = x1^2.
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Unformatted text preview: (c) beta-hat_2 = 44.08 s.e. = 7.54 beta_2: t= 5.85 p = 0 using n - k - 1 = 11 - 2 - 1 = 8 degrees of freedom F-stat 0.4 0.6 0.8 1 1.2 1.4 1.6 10 20 30 40 50 60 Column C Since p is so small, the quadratic term is (probably) needed. (d) y-hat = 18.18 + (-44.90)*1 + 44.08*1^2 = 17.36 t = 2.306 95% confidence interval: (17.36 - 2.306*1.005, 17.36 + 2.306*1.005) = (15.04, 19.68) y - y-(y - y-)^2-18.04 325.44-15.04 226.2-16.84 283.59-13.84 191.55-8.04 64.64-9.14 83.54-0.64 0.41 4.26 18.15 7.36 54.17 20.86 435.14 25.16 633.03-23.94 2315.85...
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This note was uploaded on 05/12/2010 for the course ESI 6321 taught by Professor Josephgeunes during the Spring '07 term at University of Florida.

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UF-ESI-6321-13-06-01 - (c) beta-hat_2 = 44.08 s.e. = 7.54...

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