HOW TO INTERPRET THE RESULTS b0 b1 SST SSE2524263179 DOES TH

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 -0.84083

Solution

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
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
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

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