SPSS Output for in-class trombone Analysis of Covariance worksheet Regression Variables Entered/Removeda Model Variables Entered Variables Removed Method 1 xb . Enter 2 z4, z1, z2, z3b . Enter 3 xz1, xz4, xz2, xz3b . Enter a. Dependent Variable: y b. All requested variables entered. Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate Change Statistics R Square Change F Change df1 df2 Sig. F Change 1 .714a .510 .492 3.061 .510 29.132 1 28 .000 2 .883b .780 .734 2.216 .270 7.348 4 24 .001 3 .907c .823 .743 2.179 .043 1.207 4 20 .339 a. Predictors: (Constant), x b. Predictors: (Constant), x, z4, z1, z2, z3 c. Predictors: (Constant), x, z4, z1, z2, z3, xz1, xz4, xz2, xz3 ANOVAa Model Sum of Squares df Mean Square F Sig. 1 Regression 272.901 1 272.901 29.132 .000b Residual 262.299 28 9.368 Total 535.200 29 2 Regression 417.292 5 83.458 16.988 .000c Residual 117.908 24 4.913 Total 535.200 29 3 Regression 440.227 9 48.914 10.301 .000d Residual 94.973 20 4.749 Total 535.200 29 a. Dependent Variable: y b. Predictors: (Constant), x c. Predictors: (Constant), x, z4, z1, z2, z3 d. Predictors: (Constant), x, z4, z1, z2, z3, xz1, xz4, xz2, xz3Coefficientsa Model Unstandardized Coefficients Standardized Coefficients t Sig. B Std. Error Beta 1 (Constant) 13.646 2.790 4.891 .000 x .611 .113 .714 5.397 .000 2 (Constant) 7.400 2.374 3.118 .005 x .738 .085 .863 8.628 .000 z1 4.467 1.300 .423 3.437 .002 z2 1.869 1.280 .177 1.460 .157 z3 6.705 1.318 .635 5.089 .000 z4 2.825 1.281 .268 2.205 .037 3 (Constant) -4.134 6.051 -.683 .502 x 1.187 .233 1.388 5.091 .000 z1 17.658 6.727 1.672 2.625 .016 z2 15.052 9.827 1.425 1.532 .141 z3 13.253 10.931 1.255 1.212 .239 z4 16.940 7.305 1.604 2.319 .031 xz1 -.521 .263 -1.205 -1.982 .061 xz2 -.515 .384 -1.237 -1.339 .195 xz3 -.223 .473 -.467 -.471 .643 xz4 -.553 .283 -1.348 -1.955 .065 a. Dependent Variable: y x N Mean Std. Deviation Std. Error 95% Confidence Interval for Mean Minimum Maximum Lower Bound Upper Bound 1 6 23.00 8.000 3.266 14.60 31.40 8 29 2 6 25.17 3.189 1.302 21.82 28.51 20 29 3 6 22.00 2.366 .966 19.52 24.48 18 25 4 6 25.00 6.099 2.490 18.60 31.40 17 32 Descriptives y N Mean Std. Deviation Std. Error 95% Confidence Interval for Mean Minimum Maximum Lower Bound Upper Bound 1 6 28.83 5.636 2.301 22.92 34.75 19 34 2 6 27.83 2.401 .980 25.31 30.35 24 30 3 6 30.33 2.422 .989 27.79 32.88 27 33 4 6 28.67 4.179 1.706 24.28 33.05 22 33 5 6 26.33 5.989 2.445 20.05 32.62 17 33 Total 30 28.40 4.296 .784 26.80 30.00 17 345 6 25.67 4.179 1.706 21.28 30.05 19 29 Total 30 24.17 5.025 .917 22.29 26.04 8