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