Lab041415 - Lab Activities: Multiple Regression Analysis...

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Lab Activities: Multiple Regression Analysis Suppose that as a stat guru you're asked to analyze what kinds of individual's characteri To investigate this, you decided to relate one's hourly earnings to the education level, job Using your statistical tools from E370 with the U.S. data from the National Longitudinal  ID : Respondent's identifier EARNINGS : Current hourly earnings ($) EDUC : Years of schooling (years) EXP : Total out-of-school work experience (years) MALE : Sex of respondent (1 if male, 0 if female) ID EARNINGS EDUC EXP MALE 1) Based on the resea 2302 30.44 17 17.58 1 73 57.69 18 11.17 1 2871 37.79 18 13.75 1 4022 18.49 12 21.58 1 941 27.00 13 21.83 1 3493 14.00 12 20.38 1 1186 38.81 16 13.02 1 997 22.18 12 19 1 2998 12.30 12 22.4 1 1555 11.90 14 16.52 1 3) Use Excel to gener 1046 27.40 19 10.96 1 336 13.50 12 6.69 1 11754 25.00 12 21.31 1 5375 10.00 12 20.04 1 482 81.82 19 16.88 1 4245 15.38 14 15.04 1 12012 28.84 14 21.96 1 2463 9.61 15 20.75 1 3639 12.50 9 4.27 1 5390 15.93 14 23.27 1 1010 83.33 16 16.38 1 4900 18.75 12 21.12 1 2803 21.83 13 21.37 1 1358 28.84 14 20.79 1 1911 16.71 12 22.08 1 6) Based upon the re 5039 38.46 18 13.31 1 who had worked for  1060 18.20 12 19.67 1 5266 36.05 14 15.25 1 2904 25.76 19 11.71 1 3694 21.11 11 23.02 1 5203 23.60 13 14.19 1 7) Explain why we ne 4808 20.94 12 19.13 1 2) Before running re 4) Using both the crit 5) Interpret the inter
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772 21.00 12 21.5 1 2189 17.94 16 16.04 1 4722 10.83 12 21.92 1 1708 15.69 16 16.92 1 8) Interpret the Adju 493 18.00 13 17.19 1 2143 12.50 12 14.31 1 393 25.00 13 18.38 1 11872 11.39 14 10.75 1 2159 23.25 16 19.48 1 3202 14.25 12 21.67 1 2386 24.61 15 20.56 1 769 17.75 12 18.1 1 1081 15.00 14 18.29 1 1527 12.00 12 21.37 1 2443 8.00 14 1.92 1 2725 8.00 14 18.15 1 2776 13.73 14 13.81 1 3979 48.07 19 10.33 1 1397 12.44 12 23.4 1 2658 8.00 12 8.9 1 5323 13.50 10 15.62 1 1368 11.92 16 18.33 1 1677 25.50 12 18.54 1 3399 27.77 12 20.83 1 3745 13.00 16 17.56 1 1867 20.10 12 18.62 1 4314 9.80 12 17.35 1 570 22.43 16 17.37 1 2733 10.56 12 22.38 1 4156 16.36 9 21.83 1 1318 12.30 8 22.44 1 4056 23.07 16 18.44 1 3933 13.73 12 19.54 1 4566 58.60 12 19.63 1 4239 12.00 12 21.65 1 12009 10.00 12 20.62 1 4119 9.85 9 20.48 1 860 12.00 12 20.62 1 3607 13.50 11 21.02 1 2372 56.00 16 12.04 1 3971 32.69 19 8.23 1 5222 14.24 16 15.29 1 2713 20.00 12 19.27 1 4191 39.31 18 14.13 1 2101 36.32 12 23.37 1
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11973 21.63 12 23.13 1 12106 31.25 18 9.67 1 1486 9.16 12 21.77 1 4329 27.80 12 22.96 1 5637 17.95 12 21.12 1 1796 12.50 12 13.17 1 3861 16.15 16 14.46 1 12056 2.50 15 12.96 1 107 20.74 16 17.08 1 2584 12.00 12 15.23 1 481 47.00 19 18.94 1 3482 20.50 13 20.27 1 5439 33.76 16 17.4 1 193 42.59 16 21.29 1 11864 20.00 12 19.75 1 2896 71.22 18 16.77 1 2010 47.00 19 17.96 1 11793 25.00 12 17.75 1 3116 29.80 12 19 1 12124 4.46 12 19.29 1 357 26.04 16 19.85 1 3246 13.27 12 22.79 1 4767 18.00 17 17.12
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This note was uploaded on 07/01/2011 for the course ECO 370 taught by Professor Camp during the Spring '11 term at Indiana State University .

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Lab041415 - Lab Activities: Multiple Regression Analysis...

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