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Model without Glucose regress BMI LDL age Source SS df MS Number of obs 2, 747 F (2, 2744) = 39 . 86 Model 2366.
Model without Glucose
regress BMI LDL age Source SS df MS Number of obs 2, 747 F (2, 2744) = 39 . 86 Model 2366. 67829 2 1183. 33914 Prob > F 0. 0000 Residual 81466. 7123 2, 744 29. 6890351 R-squared = 0 . 0282 Adj R-squared 0. 0275 Total 83833. 3906 2, 746 30.5292755 Root MSE 5 . 4488 BMI Coefficient Std. err. t P> |t| [95% conf. interval] LDL 0076495 . 002754 2. 78 0 . 006 . 0022493 . 0130497 age 1304468 . 0156672 -8. 33 0. 000 -. 1611676 -. 0997261 cons 36 . 15716 1. 142313 31. 65 0. 000 33. 91728 38 . 39704regress BMI LDL age glucose Source SS df MS Number of obs E 2, 747 F (3, 2743) E 98. 22 Model 8131. 88444 3 2710. 62815 Prob > F 0. 0000 Residual 75701. 5061 2, 743 27 . 59807 R-squared = 0 . 0970 Adj R-squared 0 . 0960 Total 83833 . 3906 2, 746 30.5292755 Root MSE 5 . 2534 BMI Coefficient Std. err. t P> |t | [95% conf. interval] LDL . 0075683 . 0026553 2 . 85 0 . 004 .0023617 . 0127748 age -. 1142853 . 0151468 -7. 55 0 . 000 -. 1439855 -. 084585 glucose 0394078 . 0027266 14. 45 0. 000 . 0340615 . 0447541 cons 30 . 67291 1. 164885 26.33 0. 000 28. 38877 32 . 95705Source | SS df MS Number of obs = 50 F( 9, 40) 4 . 57 Model | 1684 . 15999 9 187. 128887 Prob > F 0 . 0003 Residual| 1636. 70545 40 40 . 9176363 R-squared = 0. 5071 Adj R-squared = 0.3963 Total | 3320.86544 49 67.7727641 Root MSE = 6.3967 Z Coef. Std. Err. t [95% Conf. Interval] y1 / 2 . 184007 1 . 264074 1. 73 0 . 092 -. 3707815 4. 738795 y2 | 1. 537829 1. 809436 0 . 85 0 . 400 -2. 119178 5. 194837 y3 | 2 . 621185 2. 140416 1.22 0 . 228 -1. 704757 6.947127 y4 . 6024704 2. 176045 0 . 28 0. 783 -3. 795481 5. 000421 y5 | 1. 692758 2. 196725 0. 77 0 . 445 -2. 746989 6. 132506 y6 . 0290429 2. 094395 0 . 01 0. 989 -4. 203888 4 . 261974 y7 1 . 7794273 2. 197227 0 . 35 0 . 725 -3.661333 5. 220188 y8 | -2. 485206 2. 19327 -1. 13 0 . 264 -6.91797 1. 947558 y9 1. 844671 1. 744538 1 . 06 0. 297 -1. 681172 5. 370514 _cons . 8498024 . 9613522 0. 88 0. 382 -1. 093163 2. 792768Source SS df MS Number of obs = 50 F( 5, 44) 7.77 Model 1556 . 88498 5 311 .376997 Prob > F 0 . 0000 Residual 1763 . 98046 44 40 . 0904649 R-squared 0 . 4688 Adj R-squared 0 . 4085 Total | 3320.86544 49 67.7727641 Root MSE = 6.3317 Z Coef. Std. Err. t P> / t/ [95% Conf. Interval] ---+-- yl / 2. 943948 . 8138525 3.62 0 . 001 1. 303736 4 . 58416 y3 3. 403871 1. 080173 3. 15 0 . 003 1 . 226925 5. 580818 y5 2 . 458887 955118 2.57 0 . 013 . 533973 4 . 383801 y7 1 -. 3859711 . 9742503 -0 . 40 0 . 694 -2. 349443 1 . 577501 y9 . 1298614 . 9795983 0. 13 0 . 895 -1. 844389 2. 104112 _cons - 1 . 118512 . 9241601 1 . 21 0. 233 -. 7440107 2. 981034Step by Step Solution
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