empirical final2
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Team Lead Comm Internship Previous_Perform Work_Exp Student_prof4 4 5 0 4 2 34 4 5 0 4 2 33 4 4 0 4 2 33 3 3 2 3 1 24 3 3 3 3 1 33 3 5 0 4 5 33 4 5 0 3 1 35 5 6 4 3 3 43 2 4 2 3 1 24 3 5 1 3 1 34 4 4 4 3 1 34 4 4 3 3 3 43 4 3 4 3 1 33 3 5 4 3 3 33 3 5 2 3 1 35 5 6 0 4 4 44 3 4 2 2 1 33 4 5 0 4 3 34 4 3 3 3 1 34 4 5 3 4 3 43 4 4 0 4 5 34 3 4 4 4 5 43 4 4 3 4 1 34 3 5 0 3 2 35 5 5 0 4 5 44 4 5 3 4 1 34 5 5 0 4 1 34 4 4 0 3 5 32 3 5 3 4 2 33 3 4 1 4 5 34 4 5 3 4 3 44 5 5 0 4 3 34 3 4 0 4 1 34 4 3 3 3 1 33 3 5 4 3 3 35 3 5 2 4 3 44 4 4 0 4 5 34 4 4 3 4 3 45 4 5 2 4 5 43 3 5 0 4 2 34 4 4 3 4 1 34 4 5 0 3 5 34 3 4 0 4 3 34 3 4 2 5 5 44 4 4 3 3 2 33 4 4 0 4 3 3
Alum DV College_Ranking Coll_PrevPlace College Accredations College_Profile1 5 3 4 4 41 6 3 3 2 32 2 3 4 4 41 1 2 2 3 21 1 1 1 3 22 2 3 4 4 41 2 4 4 4 43 7 3 4 4 41 4 4 4 3 43 1 2 3 2 22 1 2 2 2 21 1 3 2 4 33 2 2 2 4 31 4 5 5 4 53 2 3 3 2 31 4 2 2 3 21 1 1 1 1 11 6 4 4 4 41 1 1 1 3 21 3 3 4 4 41 1 3 4 4 42 1 3 4 4 43 3 4 4 3 42 3 3 4 4 41 5 4 4 3 41 5 4 4 3 42 3 3 4 4 43 4 3 4 4 41 1 5 5 3 41 2 3 4 4 42 3 3 4 4 43 3 3 4 4 42 2 3 4 4 41 3 3 3 3 32 1 3 3 5 43 3 3 4 4 42 1 3 4 4 43 1 3 3 5 41 2 3 4 4 43 3 3 4 4 41 2 3 3 5 43 4 3 4 4 41 4 3 4 4 42 6 3 4 4 43 2 3 4 4 42 5 3 4 4 4
XLMiner : Multiple Linear Regression
Output Navigator
Inputs
DataWorkbook Empirical_final2.xlsWorksheet Empirical_final2Data Range $A$1:$M$47# Records 46
Variables# Input Variables 10Input variables Team Lead Comm Internship Previous_PeOutput variable DV
Parameters/OptionsForce constant term to zero NoShow fitted values on training data NoShow ANOVA table YesShow standardized residuals NoShow un-standardized residuals NoShow variance covariance matrix NoPerform Variable Selection NoShow studentized residuals NoShow deleted residuals NoShow Cook's distance NoShow DF fits NoShow covariance ratios NoShow hat matrix diagonals No
Output Options ChosenSummary report of scoring on training dataDetailed report of scoring on training data
Regression Model
Coefficient Std. Error t-Statistic P-Value CI Lower CI Upper
Intercept -3.9645 2.2883 -1.7325 0.092 -8.61 0.681Team 0.6449 0.4374 1.4743 0.1493 -0.2431 1.533Lead 0.2599 0.3946 0.6588 0.5143 -0.5411 1.061Comm 0.5119 0.3997 1.2807 0.2087 -0.2995 1.3232Internship -0.1297 0.1813 -0.7152 0.4792 -0.4978 0.2385Previous_Pe -0.0191 0.476 -0.0402 0.9682 -0.9854 0.9471Work_Exp -0.0627 0.1804 -0.3477 0.7301 -0.4289 0.3034Alum -0.0831 0.3002 -0.2769 0.7835 -0.6925 0.5262
Inputs Regress. Model ANOVA Train. Score - Summary
InputVariables
College_Ran 0.5015 0.6408 0.7826 0.4391 -0.7993 1.8023Coll_PrevPl 0.3207 0.5924 0.5414 0.5916 -0.8818 1.5233College Acc -0.2236 0.3257 -0.6865 0.4969 -0.8847 0.4376
ANOVA
Source DF SS MS F-Statistic P-ValueRegression 10 49.438 4.9438 2.2827 0.0349Error 35 75.8012 2.1657Total 45 125.2391 7.1095
Training Data Scoring - Summary Report
RMS Error75.801153 1.2836865 -5.850393E-15
Total sum of
squared errors
AverageError
Date: 23-Dec-2014 01:12:02
Output Navigator Elapsed Times in MillisecondsData read time MLR Time Report Time Total
0 78 93 171
DataEmpirical_final2.xlsEmpirical_final2$A$1:$M$4746
Variables10
Work_Exp Alum College_Ranking Coll_PrevPl College AccredationsDV
Parameters/OptionsNoNoYesNoNoNoNoNoNoNoNoNoNo
361.76097.67045.2438
23.2381 Residual DF 351.1816 R² 0.39471.2293 Adjusted R² 0.22180.1098 Std. Error Estimate 1.47160.3397 RSS 75.8012
Train. Score - Detailed Rep.
RSSReduction
9.12220.28241.0207
XLMiner : Multiple Linear Regression - Prediction of Training Data
Output Navigator
Residual Team Lead Comm InternshipPrevious_Perform
3.822335 5 1.177665 4 4 5 0 43.948744 6 2.051256 4 4 5 0 4
2.7151622 2 -0.715162 3 4 4.25 0 3.750.536102 1 0.463898 3 3 2.5 2 3.250.371448 1 0.628552 4 3 2.75 3 2.5
2.3854703 2 -0.38547 3 3 4.5 0 4.253.6375397 2 -1.63754 3 4 4.75 0 2.754.5152586 7 2.4847414 5 5 6 4 2.752.5747566 4 1.4252434 3 2 3.75 2 2.52.7220839 1 -1.722084 4 3 4.5 1 2.751.9618718 1 -0.961872 4 4 3.75 4 3.252.2363459 1 -1.236346 4 4 4 3 30.2891608 2 1.7108392 3 4 2.75 4 2.53.4276332 4 0.5723668 3 3 4.5 4 2.752.5721112 2 -0.572111 3 3 4.75 2 3
4.203838 4 -0.203838 5 5 6 0 3.51.5928865 1 -0.592887 4 3 4 2 2.253.6161597 6 2.3838403 3 4 5 0 40.7593558 1 0.2406442 4 4 3 3 2.53.1193869 3 -0.119387 4 4 4.5 3 3.752.6053501 1 -1.60535 3 4 4.25 0 42.0141229 1 -1.014123 4 3 3.5 4 3.52.9027637 3 0.0972363 3 4 4 3 3.753.2424745 3 -0.242474 4 3 4.5 0 35.2593458 5 -0.259346 5 5 5 0 4.253.9650903 5 1.0349097 4 4 4.5 3 44.1898405 3 -1.189841 4 5 5.25 0 43.0984049 4 0.9015951 4 4 4.25 0 3.253.1747576 1 -2.174758 2 3 4.5 3 42.2157113 2 -0.215711 3 3 4.25 1 43.0410511 3 -0.041051 4 4 4.5 3 3.53.5926147 3 -0.592615 4 5 4.5 0 4.253.0301317 2 -1.030132 4 3 4 0 42.3990021 3 0.6009979 4 4 3 3 2.751.6092637 1 -0.609264 3 3 4.75 4 2.53.7189924 3 -0.718992 5 3 5 2 42.7928475 1 -1.792847 4 4 3.5 0 3.52.1529224 1 -1.152922 4 4 4 3 3.753.8917759 2 -1.891776 5 4 4.75 2 42.4952825 3 0.5047175 3 3 4.5 0 42.5725552 2 -0.572555 4 4 4.25 3 3.753.2263693 4 0.7736307 4 4 4.5 0 3.25
2.997383 4 1.002617 4 3 4 0 3.52.5055298 6 3.4944702 4 3 4 2 4.752.6415382 2 -0.641538 4 4 3.75 3 3.25
Inputs Regress. Model ANOVA Train. Score - Summary
PredictedValue
ActualValue
2.6572287 5 2.3427713 3 4 4.25 0 3.5
Date: 23-Dec-2014 01:12:02
Output Navigator Elapsed Times in MillisecondsData read time MLR Time Report Time Total
0 78 93 171
Work_Exp Alum College_RankingColl_PrevPlaceCollege Accredations
2 1 3 4 42 1 3 3 22 2 3 4 41 1 2 2 31 1 1 1 35 2 3 4 41 1 4 4 43 3 3 4 41 1 4 4 31 3 2 3 21 2 2 2 23 1 3 2 41 3 2 2 43 1 5 5 41 3 3 3 24 1 2 2 31 1 1 1 13 1 4 4 41 1 1 1 33 1 3 4 45 1 3 4 45 2 3 4 41 3 4 4 32 2 3 4 45 1 4 4 31 1 4 4 31 2 3 4 45 3 3 4 42 1 5 5 35 1 3 4 43 2 3 4 43 3 3 4 41 2 3 4 41 1 3 3 33 2 3 3 53 3 3 4 45 2 3 4 43 3 3 3 55 1 3 4 42 3 3 4 41 1 3 3 55 3 3 4 43 1 3 4 45 2 3 4 42 3 3 4 4
Train. Score - Detailed Rep.
3 2 3 4 4
Model Multiple Linear RegressionConstant term present 1# Selected Variables 10Selected Variables E5:O5 Team Lead CommVariables Offsets E6:O6 0 1 2Variable Role E7:O7 Input Input InputEstimated Coefficients D8:N8 -3.964527 0.6449438 0.2599434 0.5118575
Date: 23-Dec-2014 01:12:02
Internship Previous_PeWork_Exp Alum College_RanColl_PrevPl College Acc DV3 4 5 7 9 10 11 8
Input Input Input Input Input Input Input Output-0.129695 -0.01913 -0.062716 -0.083118 0.5014846 0.3207298 -0.223569
XLMiner : Multiple Linear Regression
Output Navigator
Inputs
DataWorkbook Empirical_final2.xlsWorksheet Empirical_final2Data Range $A$1:$M$47# Records 46
Variables# Input Variables 3Input variables Student_prof Alum College_ProfileOutput variable DV
Parameters/OptionsForce constant term to zero NoShow fitted values on training data NoShow ANOVA table YesShow standardized residuals NoShow un-standardized residuals NoShow variance covariance matrix NoPerform Variable Selection NoShow studentized residuals NoShow deleted residuals NoShow Cook's distance NoShow DF fits NoShow covariance ratios NoShow hat matrix diagonals No
Output Options ChosenSummary report of scoring on training dataDetailed report of scoring on training data
Regression Model
Coefficient Std. Error t-Statistic P-Value CI Lower CI Upper
Intercept -0.6293 1.7586 -0.3578 0.7223 -4.1782 2.9196Student_pro 0.3694 0.4833 0.7644 0.4489 -0.6059 1.3446Alum -0.1611 0.2876 -0.5603 0.5783 -0.7415 0.4193College_Prof 0.7082 0.2922 2.4236 0.0198 0.1185 1.298
ANOVA
Inputs Regress. Model ANOVA Train. Score - Summary
InputVariables
Source DF SS MS F-Statistic P-ValueRegression 3 18.0637 6.0212 2.3596 0.0851Error 42 107.1754 2.5518Total 45 125.2391 8.573
Training Data Scoring - Summary Report
RMS Error107.17542 1.5264012 -1.110223E-15
Total sum of
squared errors
AverageError
Date: 23-Dec-2014 01:06:55
Output Navigator Elapsed Times in MillisecondsData read time MLR Time Report Time Total
0 15 93 108
DataEmpirical_final2.xlsEmpirical_final2$A$1:$M$4746
Parameters/OptionsNoNoYesNoNoNoNoNoNoNoNoNoNo
361.76092.95290.1219
14.9889 Residual DF 42R² 0.1442Adjusted R² 0.0831
Std. Error Estimate 1.5974RSS 107.1754
Train. Score - Detailed Rep.
RSSReduction
XLMiner : Multiple Linear Regression - Prediction of Training Data
Output Navigator
Residual Student_prof Alum College_Profile
3.1507153 5 1.8492847 3 1 42.4424669 6 3.5575331 3 1 32.9895869 2 -0.989587 3 2 41.3648364 1 -0.364836 2 1 21.7342185 1 -0.734218 3 1 22.9895869 2 -0.989587 3 2 43.1507153 2 -1.150715 3 1 43.1978405 7 3.8021595 4 3 42.7813333 4 1.2186667 2 1 41.4119616 1 -0.411962 3 3 2
1.57309 1 -0.57309 3 2 22.8118489 1 -1.811849 4 1 3
2.12021 2 -0.12021 3 3 33.8589638 4 0.1410362 3 1 5
2.12021 2 -0.12021 3 3 32.1036005 4 1.8963995 4 1 2
1.02597 1 -0.02597 3 1 13.1507153 6 2.8492847 3 1 41.7342185 1 -0.734218 3 1 23.5200974 3 -0.520097 4 1 43.1507153 1 -2.150715 3 1 43.3589689 1 -2.358969 4 2 42.8284585 3 0.1715415 3 3 42.9895869 3 0.0104131 3 2 43.5200974 5 1.4799026 4 1 43.1507153 5 1.8492847 3 1 42.9895869 3 0.0104131 3 2 42.8284585 4 1.1715415 3 3 43.1507153 1 -2.150715 3 1 43.1507153 2 -1.150715 3 1 43.3589689 3 -0.358969 4 2 42.8284585 3 0.1715415 3 3 42.9895869 2 -0.989587 3 2 42.4424669 3 0.5575331 3 1 32.9895869 1 -1.989587 3 2 43.1978405 3 -0.19784 4 3 42.9895869 1 -1.989587 3 2 43.1978405 1 -2.19784 4 3 43.5200974 2 -1.520097 4 1 42.8284585 3 0.1715415 3 3 43.1507153 2 -1.150715 3 1 42.8284585 4 1.1715415 3 3 43.1507153 4 0.8492847 3 1 43.3589689 6 2.6410311 4 2 42.8284585 2 -0.828458 3 3 4
Inputs Regress. Model ANOVA Train. Score - Summary
PredictedValue
ActualValue
2.9895869 5 2.0104131 3 2 4
Date: 23-Dec-2014 01:06:54
Output Navigator Elapsed Times in MillisecondsData read time MLR Time Report Time Total
0 15 93 108Train. Score - Detailed Rep.
Model Multiple Linear RegressionConstant term present 1# Selected Variables 3Selected Variables E5:H5 Student_proAlum College_ProfVariables Offsets E6:H6 6 7 12Variable Role E7:H7 Input Input InputEstimated Coefficients D8:G8 -0.629296 0.369382 -0.161128 0.7082484
Date: 23-Dec-2014 01:06:54
DV8
Output
Work ex conversion table Alumn Normalization5 1 4 1 1 14 1 43 1 2 2 1 32 1 2 2 2 41 1 15 2 54 2 53 2 32 2 31 2 1
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