The first approach is purely linear. Based on the linear regression, we can identify some regressive values.
The first result is correct for this estimation.
99 regressive values
| Variable | Regressive value |
| 'population' | 0.0037 |
| 'householdsize' | 0.0043 |
| 'racepctblack' | 0.2753 |
| 'racePctWhite' | -0.0102 |
| 'racePctAsian' | -0.0033 |
| 'racePctHisp' | 0.0135 |
| 'agePct12t21' | 0.0023 |
| 'agePct12t29' | -0.007 |
| 'agePct16t24' | -0.0033 |
| 'agePct65up' | 0.0142 |
| 'numbUrban' | 0.0036 |
| 'pctUrban' | 0.0344 |
| 'medIncome' | 0.0026 |
| 'pctWWage' | -0.0061 |
| 'pctWFarmSelf' | 0.0072 |
| 'pctWInvInc' | -0.0124 |
| 'pctWSocSec' | 0.0127 |
| 'pctWPubAsst' | 0.0369 |
| 'pctWRetire' | -0.0105 |
| 'medFamInc' | 0.0002 |
| 'perCapInc' | 0.0027 |
| 'whitePerCap' | 0.0032 |
| 'blackPerCap' | -0.0021 |
| 'indianPerCap' | -0.0028 |
| 'AsianPerCap' | 0.0155 |
| 'HispPerCap' | 0.006 |
| 'NumUnderPov' | 0.005 |
| 'PctPopUnderPov' | 0 |
| 'PctLess9thGrade' | -0.0025 |
| 'PctNotHSGrad' | 0.0076 |
| 'PctBSorMore' | -0.0049 |
| 'PctUnemployed' | 0.0003 |
| 'PctEmploy' | 0.0028 |
| 'PctEmplManu' | -0.0042 |
| 'PctEmplProfServ' | -0.0013 |
| 'PctOccupManu' | 0.0058 |
| 'PctOccupMgmtProf' | -0.0025 |
| 'MalePctDivorce' | 0.123 |
| 'MalePctNevMarr' | 0.0136 |
| 'FemalePctDiv' | 0.0191 |
| 'TotalPctDiv' | 0.0462 |
| 'PersPerFam' | 0.008 |
| 'PctFam2Par' | -0.0207 |
| 'PctKids2Par' | -0.0355 |
| 'PctYoungKids2Par' | -0.0448 |
| 'PctTeen2Par' | -0.0131 |
| 'PctWorkMomYoungKids' | -0.0078 |
| 'PctWorkMom' | -0.0277 |
| 'NumIlleg' | 0.0053 |
| 'PctIlleg' | 0.1186 |
| 'NumImmig' | -0.0012 |
| 'PctImmigRecent' | -0.0027 |
| 'PctImmigRec5' | 0.0004 |
| 'PctImmigRec8' | -0.0005 |
| 'PctImmigRec10' | 0.0006 |
| 'PctRecentImmig' | 0.0054 |
| 'PctRecImmig5' | 0.0111 |
| 'PctRecImmig8' | 0.0123 |
| 'PctRecImmig10' | 0.0205 |
| 'PctSpeakEnglOnly' | 0.0031 |
| 'PctNotSpeakEnglWell' | 0.0038 |
| 'PctLargHouseFam' | 0.0082 |
| 'PctLargHouseOccup' | 0.0046 |
| 'PersPerOccupHous' | 0.0083 |
| 'PersPerOwnOccHous' | -0.0001 |
| 'PersPerRentOccHous' | 0.0136 |
| 'PctPersOwnOccup' | -0.0031 |
| 'PctPersDenseHous' | 0.0809 |
| 'PctHousLess3BR' | 0.0713 |
| 'MedNumBR' | -0.0067 |
| 'HousVacant' | 0.1062 |
| 'PctHousOccup' | -0.0285 |
| 'PctHousOwnOcc' | 0.0015 |
| 'PctVacantBoarded' | 0.0292 |
| 'PctVacMore6Mos' | -0.0105 |
| 'MedYrHousBuilt' | 0.0024 |
| 'PctHousNoPhone' | 0.0181 |
| 'PctWOFullPlumb' | -0.0097 |
| 'OwnOccLowQuart' | 0.0001 |
| 'OwnOccMedVal' | 0.0034 |
| 'OwnOccHiQuart' | 0.0033 |
| 'RentLowQ' | -0.0072 |
| 'RentMedian' | 0.0033 |
| 'RentHighQ' | 0.0072 |
| 'MedRent' | 0.0077 |
| 'MedRentPctHousInc' | 0.0389 |
| 'MedOwnCostPctInc' | 0.0086 |
| 'MedOwnCostPctIncNoMtg' | -0.0336 |
| 'NumInShelters' | 0.0126 |
| 'NumStreet' | 0.0821 |
| 'PctForeignBorn' | 0.0174 |
| 'PctBornSameState' | -0.0033 |
| 'PctSameHouse85' | 0.0018 |
| 'PctSameCity85' | 0.0357 |
| 'PctSameState85' | 0.005 |
| 'LandArea' | 0.0105 |
| 'PopDens' | 0.0146 |
| 'PctUsePubTrans' | -0.0064 |
| 'LemasPctOfficDrugUn' | 0.0094 |
RMSE=0.13499
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