Since a lot of values are far from zero, what does this mean? Should I just reconsider the regression predictors, or is there something wrong with the data?It does have a lot of missing values but those get eliminated. Sorry but I'm pretty new.
Here is a clip of the data:
Code:
* Example generated by -dataex-. To install: ssc install dataex clear input int age byte(education sex region maritalstatus urban) long mainjobcode float Year 33 16 2 2 1 0 6 2009 18 . 2 4 5 1 . 2009 34 . 2 4 5 1 . 2009 19 . 1 1 4 0 . 2009 28 . 2 2 1 0 6 2009 19 . 1 4 5 1 . 2009 32 14 2 4 1 0 6 2009 14 . 1 4 5 0 6 2009 17 . 1 4 5 0 6 2009 28 61 1 2 5 1 5 2009 . . 2 2 . 1 . 2009 . . 1 4 . 0 . 2009 30 61 1 1 5 1 . 2009 26 . 1 3 5 1 . 2009 14 . 2 2 5 0 . 2009 28 . 1 1 3 0 7 2009 50 . 1 2 1 1 9 2009 42 . 2 1 1 1 . 2009 . . 2 1 . 1 . 2009 33 51 1 3 1 1 3 2009 30 31 1 1 1 0 9 2009 29 41 1 4 5 1 7 2009 32 14 2 2 1 0 6 2009 16 . 1 2 5 0 6 2009 14 . 2 2 5 0 . 2009 29 . 1 4 5 0 9 2009 23 15 1 3 5 0 6 2009 20 14 1 1 5 1 . 2009 30 31 2 1 1 1 6 2009 21 17 2 4 3 0 9 2009 . . 1 3 . 0 . 2009 59 12 1 3 1 0 9 2009 21 . 2 1 4 0 . 2009 . . 2 2 . 0 . 2009 40 . 2 1 1 0 6 2009 24 . 2 2 1 0 . 2009 50 . 2 1 4 0 5 2009 18 . 1 2 5 1 . 2009 . . 1 4 . 0 . 2009 25 . 2 2 5 1 . 2009 . . 2 2 . 0 . 2009 21 11 2 4 1 0 6 2009 . . 2 2 . 0 . 2009 46 17 2 3 4 0 7 2009 28 . 1 2 5 1 5 2009 47 17 1 3 1 0 9 2009 21 13 2 1 3 1 . 2009 21 . 2 3 5 0 . 2009 14 . 2 2 5 0 6 2009 17 . 2 4 5 0 6 2009 43 12 2 2 1 0 6 2009 23 16 2 3 1 0 5 2009 58 15 2 1 3 0 6 2009 23 . 1 1 5 0 . 2009 28 17 2 2 1 0 6 2009 48 . 1 4 1 0 6 2009 41 . 2 2 1 0 6 2009 43 . 2 3 1 1 . 2009 36 17 1 4 1 0 6 2009 15 . 2 3 5 0 6 2009 15 . 2 1 5 0 . 2009 38 . 2 2 1 0 6 2009 15 . 1 1 5 0 . 2009 56 17 1 1 1 0 6 2009 22 . 1 3 5 1 . 2009 63 11 1 1 2 0 6 2009 44 . 2 4 4 0 6 2009 18 15 2 2 1 0 6 2009 27 17 1 4 1 0 6 2009 18 . 1 3 5 0 6 2009 46 . 1 2 1 0 6 2009 52 15 1 4 4 0 6 2009 16 . 1 2 5 0 . 2009 26 . 2 2 1 0 . 2009 . . 2 2 . 0 . 2009 61 . 2 1 4 0 6 2009 15 . 1 1 5 1 . 2009 47 33 1 2 2 0 . 2009 35 13 2 3 2 0 6 2009 25 . 2 1 1 1 6 2009 16 14 2 1 5 0 6 2009 21 . 1 3 5 0 6 2009 21 17 1 1 5 0 . 2009 . . 2 1 . 1 . 2009 45 14 1 3 1 1 5 2009 31 . 2 3 2 0 6 2009 14 . 1 1 5 0 6 2009 14 . 1 3 5 1 . 2009 15 . 1 4 5 0 6 2009 38 34 2 3 1 0 6 2009 17 . 2 4 5 1 . 2009 18 14 2 4 5 0 6 2009 29 41 1 4 1 0 9 2009 56 14 2 4 1 0 6 2009 41 . 2 4 1 0 6 2009 30 16 1 1 1 1 8 2009 61 33 2 1 1 0 6 2009 63 16 1 2 1 0 6 2009 16 . 1 2 5 0 6 2009 17 . 1 3 5 1 . 2009 end label values education h4q7 label def h4q7 11 "Completed P.1", modify label def h4q7 12 "Completed P.2", modify label def h4q7 13 "Completed P.3", modify label def h4q7 14 "Completed P.4", modify label def h4q7 15 "Completed P.5", modify label def h4q7 16 "Completed P.6", modify label def h4q7 17 "Completed P.7", modify label def h4q7 31 "Completed S.1", modify label def h4q7 33 "Completed S.3", modify label def h4q7 34 "Completed S.4", modify label def h4q7 41 "Completed Post primary Specialized training or Certificate", modify label def h4q7 51 "Completed Post secondary Specialized training or diploma", modify label def h4q7 61 "Completed Degree and above", modify label values sex h2q3 label def h2q3 1 "Male", modify label def h2q3 2 "Female", modify label values region region label def region 1 "Central", modify label def region 2 "Eastern", modify label def region 3 "Northern", modify label def region 4 "Western", modify label values maritalstatus h2q10 label def h2q10 1 "Married monogamously", modify label def h2q10 2 "Married polygamously", modify label def h2q10 3 "Divorced / Separated", modify label def h2q10 4 "Widow/Widower", modify label def h2q10 5 "Never married", modify label values urban urban label def urban 0 "Rural", modify label def urban 1 "Urban", modify label values mainjobcode mainjobcode label def mainjobcode 3 "Technicians and Associate Professionals", modify label def mainjobcode 5 "Services and Sales Workers", modify label def mainjobcode 6 "Skilled Agricultural, Forestry and Fishery Workers", modify label def mainjobcode 7 "Craft and Related Trades Workers", modify label def mainjobcode 8 "Plant and Machine Operators and Assemblers", modify label def mainjobcode 9 "Elementary Occupations", modify
0 Response to Heteroskedasticity or other problem with regression?
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