85 Bears Dataset 1 Obs height weight 1 1.9050 92.534 2 1.8542 92.534 3 1.8288 88.452 4 1.8542 89.813 5 1.8034 92.081 6 1.7526 84.823 7 1.8542 96.163 8 1.8034 87.998 9 1.8288 84.370 10 1.9050 104.782 11 1.8034 96.617 12 1.7272 81.648 13 1.8034 83.462 14 1.7526 74.844 15 1.8034 95.256 16 1.8796 86.184 17 1.7526 90.266 18 1.8288 80.741 19 1.8288 104.328 20 1.9050 102.967 21 1.8542 93.442 22 1.8542 103.421 23 1.8542 103.421 24 1.9304 122.472 25 1.9050 108.864 26 1.9812 123.379 27 1.9050 117.936 28 1.9304 124.286 29 1.9304 124.286 30 1.9050 123.379 31 1.9812 138.348 32 1.8796 145.152 33 1.9304 122.472 34 1.9304 126.101 35 1.8796 121.565 36 1.9812 128.369 37 1.8796 111.132 38 1.8034 85.277 39 1.8542 88.452 40 1.8542 80.287 41 1.9050 108.864 42 1.8542 92.988 43 1.8288 103.421 44 1.9304 117.482 45 1.9050 124.740 46 1.9558 121.565 47 1.9558 124.286 85 Bears Dataset 2 The REG Procedure Model: MODEL1 Dependent Variable: weight Weight in Kilos Number of Observations Read 47 Number of Observations Used 47 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 1 9194.92900 9194.92900 79.46 <.0001 Error 45 5207.18283 115.71517 Corrected Total 46 14402 Root MSE 10.75710 R-Square 0.6384 Dependent Mean 104.15428 Adj R-Sq 0.6304 Coeff Var 10.32804 Parameter Estimates Parameter Standard Variable Label DF Estimate Error t Value Intercept Intercept 1 -314.86397 47.03225 -6.69 height Height in Meters 1 224.21883 25.15319 8.91 Parameter Estimates Variable Label DF Pr > |t| Intercept Intercept 1 <.0001 height Height in Meters 1 <.0001