HOW TO INTERPRET THE RESULTS...... b0= b1= SST= SSE=25242.63179? DOES THIS MAKE
ID: 3393995 • Letter: H
Question
HOW TO INTERPRET THE RESULTS......
b0=
b1=
SST=
SSE=25242.63179? DOES THIS MAKE IT A BAD MODEL?
SSR=35022.8497?
MSE=17511.42485
Sample Variance=?
PVALUE= 0.1237 AND 0.00715...How to interpret this info to my data?
STANDARD ERROR= 22.24755? What does this mean in terms of my data?
AGE IS MY DEPENDENT
LENGTH AND WEIGHT ARE MY INDEPENDENT
AGE LENGTH WEIGHT 19 53 80 55 67.5 344 SUMMARY OUTPUT 81 72 416 115 72 348 Regression Statistics 104 62 166 Multiple R 0.762327 100 70 220 R Square 0.581143 56 73.5 262 Adjusted R Square 0.564717 51 68.5 360 Standard Error 22.24755 57 64 204 Observations 54 53 58 144 68 73 332 ANOVA 8 37 34 df SS MS F Significance F 44 63 140 Regression 2 35022.85 17511.42 35.37993 2.31E-10 32 67 180 Residual 51 25242.63 494.9536 20 52 105 Total 53 60265.48 32 59 166 45 64 204 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% 9 36 26 Intercept -34.1713 25.99242 -1.31466 0.194504 -86.3533 18.01065 -86.3533 18.01065 21 59 120 LENGTH 0.889052 0.56798 1.565286 0.1237 -0.25122 2.02932 -0.25122 2.02932 177 72 436 WEIGHT 0.139848 0.0499 2.802554 0.00715 0.039669 0.240026 0.039669 0.240026 57 57.5 125 81 61 132 21 54 90 9 40 40 RESIDUAL OUTPUT 45 63 220 9 43 46 Observation Predicted AGE Residuals Standard Residuals 33 66.5 154 1 24.13625 -5.13625 -0.23535 57 60.5 116 2 73.94725 -18.9473 -0.86819 45 60 182 3 88.01701 -7.01701 -0.32153 21 61 150 4 78.50738 36.49262 1.672152 10 40 65 5 44.16461 59.83539 2.741756 82 64 356 6 58.82879 41.17121 1.886532 70 65 316 7 67.81407 -11.8141 -0.54134 10 49 94 8 77.07387 -26.0739 -1.19475 10 47 86 9 51.25692 5.743082 0.263157 34 59 150 10 37.53176 15.46824 0.70878 34 72 270 11 77.15887 -9.15887 -0.41967 34 65 202 12 3.478437 4.521563 0.207185 58 63 202 13 41.41762 2.582375 0.118329 58 70.5 365 14 50.56773 -18.5677 -0.8508 11 48 79 15 26.74339 -6.74339 -0.30899 23 50 148 16 41.49745 -9.49745 -0.43519 70 76.5 446 17 51.25692 -6.25692 -0.2867 11 46 62 18 1.470605 7.529395 0.345009 83 61.5 236 19 35.06447 -14.0645 -0.64446 35 63.5 212 20 90.81396 86.18604 3.949186 16 48 60 21 34.43013 22.56987 1.034189 16 41 64 22 38.52074 42.47926 1.946469 17 53 114 23 26.42378 -5.42378 -0.24853 17 52.5 76 24 6.984678 2.015322 0.092345 17 46 48 25 52.60543 -7.60543 -0.34849 8 43.5 29 26 10.49092 -1.49092 -0.06832 83 75 514 27 46.48717 -13.4872 -0.618 18 57.3 140 28 35.83865 21.16135 0.969648 29 44.62406 0.375935 0.017226 30 41.038 -20.038 -0.91817 31 10.48087 -0.48087 -0.02203 32 72.51374 9.486259 0.434676 33 67.80889 2.191108 0.1004 34 22.53791 -12.5379 -0.57451 35 19.64103 -9.64103 -0.44177 36 39.25989 -5.25989 -0.24102 37 67.59927 -33.5993 -1.53957 38 51.86627 -17.8663 -0.81866 39 50.08817 7.911829 0.362533 40 79.55121 -21.5512 -0.98751 41 19.55115 -8.55115 -0.39183 42 30.97873 -7.97873 -0.3656 43 96.21317 -26.2132 -1.20113 44 15.39564 -4.39564 -0.20142 45 53.50941 29.49059 1.351307 46 51.93117 -16.9312 -0.77581 47 16.89404 -0.89404 -0.04097 48 11.23007 4.769929 0.218566 49 28.89107 -11.8911 -0.54487 50 23.13234 -6.13234 -0.28099 51 13.43777 3.56223 0.163227 52 8.558037 -0.55804 -0.02557 53 104.3892 -21.3892 -0.98009 54 36.35003 -18.35 -0.84083Explanation / Answer
HOW TO INTERPRET THE RESULTS...... b0= b1= SST= SSE=25242.63179? DOES THIS MAKE
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