chapter 1

Chapter 13: Nonlinear and Multiple RegressionThe normal probability plot does not exhibit any troublesome features.2211std resid0residual0-1-1-21 2 3 4 5 6 7 8x-2-1 0 1z %ileµ ˆ = 52. 6(from b) and = t 2. 571e. 88Y⋅tn, so the C.I. is. 025, −3.025,5=( 2.571)( 1.69) = 52.88 ± 4.34 ( 48.54,57.22)52 .88=± .61.7712.35 1.69552 .88 2.571 3.90 = 52.88 ± 10.03 = 42.85,62.91s and ( ) 2 = 3. 902f. SSE = 61.77 so = = 12. 35( )( ) ( )± .+ . The P.I. is28.ˆˆˆˆ22µ Y ⋅75 0 12=a. = β + β ( 75) + β ( 75) = −113.0937+3.3668475 ( ) −.0178075( ) 39. 41ˆˆˆ20 12=b. = β + β ( 60) + β ( 60) 24. 93y .ˆ2c. ˆ ˆ ˆ 2SSE = Σyi− β0Σyi− β1Σxiyi− β2Σxiyi= 8386.43−( −113.0937)( 210.70)− ( 3 .3684)( 17,002) − ( −.0178)( 1,419,780) = 217. 82,SSE 217.82= = = 72.61n − 3 32s , s = 8.522 217.82d. R = 1−= . 779987.35e. H o will be rejected in favor of H a if either ≥t .= 5. 841computed value of t is = = −7.88H o .t or if t ≤ −5. 841005,3−.01780t , and since − 7.88≤−5.841.00226. The, we reject410