Printed From: HiddenCorrelations.com

Tracked Correlations:
Results: [1-50][51-100][101-150]....[1251-1293]




Correlation of 6: IQ Vs. 11: Mom's Employment
Stay at home moms seems to have children with higher IQ's.

137 Responses:
 Mom's Employment
 
IQ
Stay at Home MomPart-time Employed Out of HomeFull-time Employed Out of HomeNo MotherPart-Time Mother
05.8%    0.0%2.9%    0.0%0.0%
11.7%    4.4%    3.6%    0.0%0.0%
900.7%    0.0%1.5%    0.0%0.0%
950.0%0.0%0.7%    0.0%0.0%
1001.5%    0.7%    0.7%    0.0%0.0%
1030.0%0.0%0.7%    0.0%0.0%
1050.7%    0.0%0.0%0.0%0.0%
1090.7%    0.0%0.0%0.0%0.0%
1102.2%    0.0%0.7%    0.0%0.0%
1150.0%0.0%0.7%    0.0%0.0%
1160.0%0.0%0.7%    0.0%0.0%
1170.7%    0.0%0.0%0.0%0.0%
1190.7%    0.0%0.0%0.0%0.0%
1200.7%    0.0%0.7%    0.0%0.0%
1210.7%    0.0%0.0%0.0%0.0%
1220.0%0.0%0.7%    0.0%0.0%
1250.7%    0.0%1.5%    0.0%0.0%
1260.7%    0.0%0.0%0.0%0.0%
1281.5%    0.7%    0.0%0.0%0.0%
1290.7%    0.0%0.0%0.0%0.0%
1302.9%    2.9%    2.2%    0.0%0.0%
1321.5%    0.0%0.0%0.0%0.0%
1330.7%    0.0%0.0%0.0%0.0%
1340.0%0.0%0.7%    0.0%0.0%
1351.5%    0.0%0.7%    0.0%0.0%
1361.5%    0.0%0.7%    0.0%0.0%
1371.5%    0.0%0.0%0.0%0.0%
1380.7%    0.7%    1.5%    0.0%0.0%
1403.6%    1.5%    1.5%    0.0%0.0%
1421.5%    0.0%0.7%    0.0%0.0%
1430.7%    0.0%0.7%    0.0%0.0%
1441.5%    0.0%0.0%0.0%0.0%
1450.7%    0.0%0.7%    0.0%0.0%
1502.2%    0.0%0.7%    0.0%0.0%
1510.0%0.7%    0.0%0.0%0.0%
1521.5%    0.0%0.0%0.0%0.0%
1540.0%0.0%0.7%    0.0%0.0%
1550.7%    0.0%0.0%0.0%0.0%
1580.7%    0.7%    0.0%0.0%0.0%
1601.5%    0.0%0.7%    0.0%0.0%
1620.7%    0.0%0.0%0.0%0.0%
1691.5%    0.0%0.0%0.0%0.0%
1700.7%    0.0%0.0%0.0%0.0%
1760.7%    0.0%0.0%0.0%0.0%
1900.0%0.0%0.7%    0.0%0.0%
2000.0%0.0%0.7%    0.0%0.0%
2300.7%    0.0%0.0%0.0%0.0%




Correlation of 364: Cavities Vs. 196: Breast Fed

78 Responses:
 Breast Fed
 
Cavities
YESNO
02.6%    2.6%    
13.8%    0.0%
23.8%    1.3%    
32.6%    0.0%
42.6%    1.3%    
56.4%    0.0%
61.3%    2.6%    
72.6%    1.3%    
81.3%    5.1%    
90.0%1.3%    
106.4%    11.5%    
111.3%    0.0%
121.3%    3.8%    
130.0%1.3%    
140.0%1.3%    
151.3%    5.1%    
161.3%    1.3%    
180.0%1.3%    
205.1%    2.6%    
220.0%1.3%    
241.3%    1.3%    
251.3%    1.3%    
261.3%    0.0%
320.0%2.6%    
6311.3%    0.0%




Correlation of 338: Puberty Age Vs. 196: Breast Fed
Breast feeding seems to delay puberty. Is it because cow milk contains hormones accelerating puberty onset?

117 Responses:
 Breast Fed
 
Puberty Age
YESNO
70.0%0.9%    
90.9%    3.4%    
103.4%    4.3%    
112.6%    9.4%    
1215.4%    16.2%    
1316.2%    6.0%    
141.7%    6.0%    
155.1%    0.9%    
162.6%    0.0%


28 Responses from Males:
Breast Fed
x Puberty Age
YESNO
70%3%    
90%0%
103%    0%
110%3%    
1225%    14%    
1325%    0%
143%    0%
157%    3%    
167%    0%


89 Responses from Females:
Breast Fed
x Puberty Age
YESNO
70%0%
91%    4%    
103%    5%    
113%    11%    
1212%    16%    
1313%    7%    
141%    7%    
154%    0%
161%    0%



Details:
Another possible explanation is that maybe mammals that are not breast fed for long will tend to reach puberty sooner, in the thought that loss of mother would often mean harsh environment and in such conditions it woudl be favorable for organisms to reach sexual maturity as fast as possible.



Correlation of 11: Mom's Employment Vs. 388: Salary
Stay at home moms' children earn higher salaries.

69 Responses:
 Salary
 
Mom's Employment
None, student or minorNone, house wife/husbandNone, unemployedMinimum Wage Part TimeMinimum Wage Full TimeLower Middle Class PayUpper Middle Class PayExecutive PayCelebrity Pay
Stay at Home Mom0.0%11.6%    5.8%    0.0%0.0%21.7%    17.4%    0.0%0.0%
Part-time Employed Out of Home0.0%1.4%    0.0%0.0%0.0%5.8%    5.8%    0.0%0.0%
Full-time Employed Out of Home1.4%    1.4%    2.9%    0.0%0.0%14.5%    8.7%    0.0%0.0%
No Mother0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%
Part-Time Mother0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%




Correlation of 389: Sleep Hours Vs. 8: Childhood Night-light
Children that had night-light sleep longer each night as an adult.

70 Responses:
 Childhood Night-light
 
Sleep Hours
YESNO
31.4%    0.0%
40.0%2.9%    
51.4%    7.1%    
64.3%    12.9%    
717.1%    25.7%    
810.0%    10.0%    
91.4%    4.3%    
101.4%    0.0%




Correlation of 11: Mom's Employment Vs. 177: Verbal Skill
Children with stay-home moms have higher verbal skills.

149 Responses:
 Verbal Skill
 
Mom's Employment
MUCH-HIGHERHIGHERAVGLOWERMUCH-LOWER
Stay at Home Mom20.1%    21.5%    14.8%    1.3%    0.0%
Part-time Employed Out of Home5.4%    5.4%    3.4%    0.0%0.0%
Full-time Employed Out of Home6.0%    12.8%    6.7%    2.0%    0.0%
No Mother0.0%0.0%0.0%0.0%0.0%
Part-Time Mother0.0%0.0%0.0%0.0%0.0%




Correlation of 196: Breast Fed Vs. 20: Social Adjustment
Brest fed children are more likely to claim to be well socially adjusted.

161 Responses:
 Social Adjustment
 
Breast Fed
Very PoorlyPoorlyAvgerageBetter than AvgMuch better than Avg
YES0.0%10.6%    14.9%    14.9%    5.6%    
NO0.0%3.7%    19.3%    18.0%    4.3%    




Correlation of 338: Puberty Age Vs. 197: Breast Fed Year
Breast feeding seems to delay puberty. Is it because cow milk contains hormones accelerating puberty onset?

116 Responses:
 Breast Fed Year
 
Puberty Age
YESNO
70.0%0.9%    
90.9%    3.4%    
100.9%    5.2%    
112.6%    9.5%    
1210.3%    21.6%    
137.8%    15.5%    
140.9%    6.0%    
152.6%    2.6%    
161.7%    0.9%    


28 Responses from Males:
Breast Fed Year
x Puberty Age
YESNO
70%3%    
90%0%
100%3%    
110%3%    
1217%    21%    
1310%    14%    
140%0%
153%    3%    
163%    3%    


88 Responses from Females:
Breast Fed Year
x Puberty Age
YESNO
70%0%
91%    4%    
101%    5%    
113%    11%    
127%    21%    
136%    15%    
141%    7%    
152%    2%    
161%    0%



Details:
Another possible explanation is that maybe mammals that are not breast fed for long will tend to reach puberty sooner, in the thought that loss of mother would often mean harsh environment and in such conditions it woudl be favorable for organisms to reach sexual maturity as fast as possible.



Correlation of 232: Moles Vs. 197: Breast Fed Year
People not breast fed for at least a year tend to have more Moles.

121 Responses:
 Breast Fed Year
 
Moles
YESNO
06.6%    7.4%    
0.8%    5.0%    
14.1%    5.0%    
24.1%    7.4%    
32.5%    4.1%    
41.7%    6.6%    
51.7%    5.0%    
60.8%    1.7%    
70.0%0.8%    
81.7%    0.0%
90.0%0.8%    
100.0%4.1%    
110.0%0.8%    
120.0%1.7%    
130.0%0.8%    
152.5%    2.5%    
200.8%    0.8%    
250.0%0.8%    
300.0%0.8%    
350.0%0.8%    
400.0%0.8%    
500.0%1.7%    
700.8%    0.0%
1000.8%    2.5%    
5000.0%1.7%    
10000.0%0.8%    




Correlation of 157: Spanked Vs. 487: Conversational Eye Gaze
Children spanked are less likely to conversationally eye gaze.

41 Responses:
 Conversational Eye Gaze
 
Spanked
YESNO
Never12.2%    0.0%
A Few Times Ever26.8%    12.2%    
Yearly0.0%2.4%    
Monthly17.1%    9.8%    
Weekly7.3%    9.8%    
Daily2.4%    0.0%




Correlation of 157: Spanked Vs. 486: Conversational Style
Spanked children later in life tend to talk TO people rather than WITH them.

41 Responses:
 Conversational Style
 
Spanked
Talk TOTalk WITHIndeterminate
Never2.4%    9.8%    0.0%
A Few Times Ever4.9%    26.8%    7.3%    
Yearly0.0%2.4%    0.0%
Monthly9.8%    17.1%    0.0%
Weekly7.3%    7.3%    2.4%    
Daily0.0%2.4%    0.0%




Correlation of 157: Spanked Vs. 499: Personality - Self-Esteem
Spanked children have less self-esteem.

34 Responses:
 Personality - Self-Esteem
 
Spanked
MUCH-MOREMOREAVGLESSMUCH-LESS
Never2.9%    0.0%5.9%    2.9%    0.0%
A Few Times Ever2.9%    2.9%    17.6%    14.7%    0.0%
Yearly0.0%2.9%    0.0%0.0%0.0%
Monthly2.9%    5.9%    11.8%    8.8%    0.0%
Weekly0.0%2.9%    2.9%    5.9%    2.9%    
Daily0.0%0.0%0.0%2.9%    0.0%




Correlation of 157: Spanked Vs. 441: Grades - High-School
Spanked children get worse school grades. Best students are least often spanked.

52 Responses:
 Grades - High-School
 
Spanked
A+ 98-100A 94-97B+ 89-93B 84-88C+ 79-83C 72-78D 65-71F 0-65
Never1.9%    1.9%    0.0%1.9%    1.9%    0.0%0.0%0.0%
A Few Times Ever5.8%    9.6%    13.5%    5.8%    3.8%    1.9%    0.0%0.0%
Yearly1.9%    0.0%0.0%1.9%    0.0%0.0%0.0%0.0%
Monthly1.9%    7.7%    13.5%    0.0%0.0%3.8%    0.0%0.0%
Weekly1.9%    1.9%    1.9%    1.9%    5.8%    0.0%1.9%    0.0%
Daily0.0%1.9%    1.9%    1.9%    0.0%0.0%0.0%0.0%


14 Responses from Males:
Grades - High-School
x Spanked
A+ 98-100A 94-97B+ 89-93B 84-88C+ 79-83C 72-78D 65-71F 0-65
Never7%    0%0%0%0%0%0%0%
A Few Times Ever0%21%    7%    7%    0%0%0%0%
Yearly0%0%0%0%0%0%0%0%
Monthly0%7%    28%    0%0%14%    0%0%
Weekly0%0%0%0%7%    0%0%0%
Daily0%0%0%0%0%0%0%0%


38 Responses from Females:
Grades - High-School
x Spanked
A+ 98-100A 94-97B+ 89-93B 84-88C+ 79-83C 72-78D 65-71F 0-65
Never0%2%    0%2%    2%    0%0%0%
A Few Times Ever7%    5%    15%    5%    5%    2%    0%0%
Yearly2%    0%0%2%    0%0%0%0%
Monthly2%    7%    7%    0%0%0%0%0%
Weekly2%    2%    2%    2%    5%    0%2%    0%
Daily0%2%    2%    2%    0%0%0%0%




Correlation of 157: Spanked Vs. 174: Loner / Social
Spanked children are more likely to be loners.

99 Responses:
 Loner / Social
 
Spanked
LonerSocial
Never5.1%    1.0%    
A Few Times Ever19.2%    17.2%    
Yearly6.1%    3.0%    
Monthly14.1%    13.1%    
Weekly8.1%    6.1%    
Daily2.0%    2.0%    




Correlation of 157: Spanked Vs. 478: Personality - Shyness
Spanked children are more shy.

46 Responses:
 Personality - Shyness
 
Spanked
MUCH-MOREMOREAVGLESSMUCH-LESS
Never2.2%    2.2%    0.0%4.3%    2.2%    
A Few Times Ever6.5%    6.5%    19.6%    6.5%    2.2%    
Yearly2.2%    0.0%0.0%0.0%0.0%
Monthly2.2%    2.2%    10.9%    6.5%    6.5%    
Weekly4.3%    0.0%2.2%    6.5%    2.2%    
Daily0.0%0.0%2.2%    0.0%0.0%




Correlation of 358: Breast Size Vs. 324: Children, Current # of Born Children
Large breasted women tend to have more children.

79 Responses:
 Children, Current # of Born Children
 
Breast Size
012346
Very Small1.3%    0.0%1.3%    2.5%    0.0%0.0%0.0%
Small5.1%    0.0%1.3%    10.1%    0.0%0.0%0.0%
Average16.5%    0.0%6.3%    11.4%    6.3%    0.0%0.0%
Large3.8%    0.0%3.8%    5.1%    3.8%    1.3%    0.0%
Very Large3.8%    0.0%2.5%    5.1%    0.0%1.3%    0.0%


23 Responses from Males:
Children, Current # of Born Children
x Breast Size
012346
Very Small0%0%0%0%0%0%0%
Small4%    0%4%    0%0%0%0%
Average26%    0%8%    17%    4%    0%0%
Large8%    0%4%    0%0%0%0%
Very Large0%0%0%0%0%0%0%


56 Responses from Females:
Children, Current # of Born Children
x Breast Size
012346
Very Small1%    0%1%    3%    0%0%0%
Small5%    0%0%14%    0%0%0%
Average12%    0%5%    8%    7%    0%0%
Large1%    0%3%    7%    5%    1%    0%
Very Large5%    0%3%    7%    0%1%    0%




Correlation of 338: Puberty Age Vs. 156: Parental Style
Parenting style seems to affect puberty onset!

126 Responses:
 Parental Style
 
Puberty Age
Permissive/LenientMediumHarsh/ControllingIndeterminate
70.0%0.8%    0.0%0.0%
90.0%3.2%    0.0%0.8%    
100.0%2.4%    4.0%    0.0%
110.8%    4.0%    5.6%    1.6%    
124.0%    16.7%    5.6%    3.2%    
131.6%    15.9%    7.9%    0.0%
142.4%    3.2%    4.0%    0.0%
150.8%    2.4%    3.2%    0.0%
160.0%3.2%    0.0%0.0%


31 Responses from Males:
Parental Style
x Puberty Age
Permissive/LenientMediumHarsh/ControllingIndeterminate
70%3%    0%0%
90%0%0%0%
100%0%3%    0%
110%3%    0%0%
123%    29%    3%    0%
136%    25%    0%0%
140%6%    0%0%
150%6%    3%    0%
160%6%    0%0%


95 Responses from Females:
Parental Style
x Puberty Age
Permissive/LenientMediumHarsh/ControllingIndeterminate
70%0%0%0%
90%4%    0%1%    
100%3%    4%    0%
111%    4%    7%    2%    
124%    12%    6%    4%    
130%12%    10%    0%
143%    2%    5%    0%
151%    1%    3%    0%
160%2%    0%0%




Correlation of 477: Friends Count Vs. 478: Personality - Shyness
Shy people tend to have fewer friends.

48 Responses:
 Personality - Shyness
 
Friends Count
MUCH-MOREMOREAVGLESSMUCH-LESS
Few, none close2.1%    2.1%    4.2%    0.0%0.0%
Few, some close6.2%    4.2%    14.6%    8.3%    2.1%    
Few, all/most close6.2%    4.2%    8.3%    2.1%    2.1%    
Many, none close0.0%0.0%0.0%2.1%    2.1%    
Many, some close2.1%    0.0%10.4%    8.3%    6.2%    
Many, all/most close0.0%0.0%0.0%2.1%    0.0%


13 Responses from Males:
Personality - Shyness
x Friends Count
MUCH-MOREMOREAVGLESSMUCH-LESS
Few, none close0%0%7%    0%0%
Few, some close0%7%    15%    7%    0%
Few, all/most close15%    0%0%7%    0%
Many, none close0%0%0%0%7%    
Many, some close0%0%15%    7%    7%    
Many, all/most close0%0%0%0%0%


33 Responses from Females:
Personality - Shyness
x Friends Count
MUCH-MOREMOREAVGLESSMUCH-LESS
Few, none close3%    3%    3%    0%0%
Few, some close9%    3%    12%    9%    3%    
Few, all/most close3%    6%    9%    0%3%    
Many, none close0%0%0%3%    0%
Many, some close3%    0%9%    9%    6%    
Many, all/most close0%0%0%3%    0%




Correlation of 341: Tobacco Smoke Vs. 343: Marijuana Smoke
So far respondents either do not smoke or smoke almost exclusively either tobacco or marijuana.

71 Responses:
 Marijuana Smoke
 
Tobacco Smoke
0151315
067.6%    1.4%    0.0%1.4%    0.0%
51.4%    0.0%0.0%0.0%0.0%
102.8%    0.0%0.0%0.0%0.0%
202.8%    0.0%0.0%0.0%0.0%
301.4%    0.0%0.0%0.0%0.0%
351.4%    0.0%0.0%0.0%0.0%
500.0%0.0%1.4%    0.0%0.0%
651.4%    0.0%0.0%0.0%0.0%
701.4%    0.0%0.0%0.0%0.0%
751.4%    0.0%0.0%0.0%0.0%
801.4%    0.0%0.0%0.0%0.0%
901.4%    0.0%0.0%0.0%0.0%
1000.0%0.0%0.0%0.0%0.0%
1201.4%    0.0%0.0%0.0%0.0%
1404.2%    0.0%0.0%0.0%1.4%    
1601.4%    0.0%0.0%0.0%0.0%
2001.4%    0.0%0.0%0.0%0.0%
14001.4%    0.0%0.0%0.0%0.0%



Details:
It can be extrapolated then that marijuana legalization would decrease tobacco smoking if it were to increase marijuana smoking. Also note, that with a tobacco cigarette being about 1 gram of smoking matter, those people that smoke marijuana smoke around 10-20 times less volume of smoking matter.



Correlation of 26: Red Hair Vs. 302: Height
Do redheads tend to be short?

136 Responses:
 Height
 
Red Hair
552585960616263646566676869707172737476
NO5.1%    0.0%0.0%1.5%    1.5%    0.7%    1.5%    4.4%    5.9%    3.7%    4.4%    2.9%    2.2%    0.7%    3.7%    2.2%    8.1%    0.7%    0.7%    0.7%    
YES, very red hair0.0%0.0%0.0%0.0%0.0%0.0%0.7%    0.7%    0.7%    0.7%    0.0%0.7%    0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%
YES, visable red component2.2%    0.7%    0.0%0.0%0.7%    1.5%    1.5%    2.9%    5.1%    3.7%    2.9%    2.9%    1.5%    0.0%0.7%    0.0%0.7%    0.0%0.7%    0.0%
YES, red component visable if H2O2 bleached0.7%    0.0%0.0%0.0%0.7%    1.5%    2.2%    2.2%    2.9%    1.5%    0.7%    1.5%    0.0%0.0%0.0%1.5%    0.0%0.7%    0.0%0.0%


30 Responses from Males:
Height
x Red Hair
552585960616263646566676869707172737476
NO6%    0%0%0%0%0%0%0%3%    0%3%    0%10%    0%10%    10%    30%    3%    3%    3%    
YES, very red hair0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%
YES, visable red component0%0%0%0%0%0%0%0%0%0%0%0%3%    0%0%0%3%    0%3%    0%
YES, red component visable if H2O2 bleached0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%3%    0%3%    0%0%


106 Responses from Females:
Height
x Red Hair
552585960616263646566676869707172737476
NO4%    0%0%1%    1%    0%1%    5%    6%    4%    4%    3%    0%0%1%    0%1%    0%0%0%
YES, very red hair0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%
YES, visable red component2%    0%0%0%0%1%    1%    3%    6%    4%    3%    3%    0%0%0%0%0%0%0%0%
YES, red component visable if H2O2 bleached0%0%0%0%0%1%    2%    2%    3%    1%    0%1%    0%0%0%0%0%0%0%0%




Correlation of 11: Mom's Employment Vs. 393: Employment Type
Children of stay at home moms tend to be self-employed or work for small local companies.

68 Responses:
 Employment Type
 
Mom's Employment
None, house wife/husband None, unemployedSelf-employedSmall Local CompanyLarge RegionalLarge National/International Company
Stay at Home Mom10.3%    7.4%    17.6%    11.8%    8.8%    2.9%    
Part-time Employed Out of Home0.0%0.0%7.4%    2.9%    1.5%    1.5%    
Full-time Employed Out of Home1.5%    4.4%    5.9%    4.4%    7.4%    4.4%    
No Mother0.0%0.0%0.0%0.0%0.0%0.0%
Part-Time Mother0.0%0.0%0.0%0.0%0.0%0.0%


19 Responses from Males:
Employment Type
x Mom's Employment
None, house wife/husband None, unemployedSelf-employedSmall Local CompanyLarge RegionalLarge National/International Company
Stay at Home Mom5%    5%    26%    21%    0%5%    
Part-time Employed Out of Home0%0%5%    5%    0%0%
Full-time Employed Out of Home0%0%5%    5%    5%    10%    
No Mother0%0%0%0%0%0%
Part-Time Mother0%0%0%0%0%0%


49 Responses from Females:
Employment Type
x Mom's Employment
None, house wife/husband None, unemployedSelf-employedSmall Local CompanyLarge RegionalLarge National/International Company
Stay at Home Mom12%    8%    14%    8%    12%    2%    
Part-time Employed Out of Home0%0%8%    2%    2%    2%    
Full-time Employed Out of Home2%    6%    6%    4%    8%    2%    
No Mother0%0%0%0%0%0%
Part-Time Mother0%0%0%0%0%0%




Correlation of 197: Breast Fed Year Vs. 230: Warts

96 Responses:
 Warts
 
Breast Fed Year
YESNO
YES8.3%    22.9%    
NO12.5%    47.9%    




Correlation of 406: Bowel Movement Type Vs. 51: Overweight
Your weight may affect your bowel movement consistency.

61 Responses:
 Overweight
 
Bowel Movement Type
MUCH-HIGHERHIGHERAVGLOWERMUCH-LOWER
Always Hard1.6%    0.0%0.0%0.0%0.0%
Usually Hard13.1%    16.4%    4.9%    0.0%1.6%    
Usually Soft21.3%    24.6%    9.8%    0.0%0.0%
Always Soft1.6%    1.6%    1.6%    0.0%0.0%
Always Watery0.0%0.0%0.0%0.0%0.0%




Correlation of 158: Childhood Setting Vs. 344: First Sexual Experience
Children have sex sooner in cities and later in the country.

71 Responses:
 First Sexual Experience
 
Childhood Setting
01011121314151617181920212224252633
Downtown Big City1.4%    0.0%0.0%0.0%1.4%    2.8%    0.0%1.4%    1.4%    2.8%    0.0%1.4%    0.0%0.0%0.0%0.0%0.0%1.4%    
Downtown Small Town0.0%0.0%0.0%1.4%    0.0%2.8%    2.8%    4.2%    0.0%4.2%    0.0%0.0%0.0%1.4%    0.0%0.0%0.0%0.0%
Suburbs1.4%    0.0%1.4%    2.8%    1.4%    2.8%    4.2%    2.8%    11.3%    4.2%    5.6%    1.4%    0.0%0.0%0.0%1.4%    1.4%    0.0%
Country0.0%1.4%    1.4%    0.0%0.0%1.4%    1.4%    7.0%    4.2%    1.4%    2.8%    0.0%2.8%    1.4%    1.4%    0.0%0.0%0.0%
Outback0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%


21 Responses from Males:
First Sexual Experience
x Childhood Setting
01011121314151617181920212224252633
Downtown Big City0%0%0%0%0%4%    0%0%0%0%0%0%0%0%0%0%0%0%
Downtown Small Town0%0%0%0%0%4%    0%0%0%9%    0%0%0%4%    0%0%0%0%
Suburbs0%0%4%    4%    0%0%4%    0%9%    9%    0%4%    0%0%0%0%4%    0%
Country0%0%0%0%0%4%    4%    9%    9%    0%4%    0%0%0%0%0%0%0%
Outback0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%


50 Responses from Females:
First Sexual Experience
x Childhood Setting
01011121314151617181920212224252633
Downtown Big City2%    0%0%0%2%    2%    0%2%    2%    4%    0%2%    0%0%0%0%0%2%    
Downtown Small Town0%0%0%2%    0%2%    4%    6%    0%2%    0%0%0%0%0%0%0%0%
Suburbs2%    0%0%2%    2%    4%    4%    4%    12%    2%    8%    0%0%0%0%2%    0%0%
Country0%2%    2%    0%0%0%0%6%    2%    2%    2%    0%4%    2%    2%    0%0%0%
Outback0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%




Correlation of 4: Nearsighted (Myopic,Myopia) Vs. 6: IQ
Eyes are extensions of the tissue of our nervous systems. It would therefor be expected that the same genes that affect the neural system would affect both development (IQ) and eye development.

106 Responses:
 IQ
 
Nearsighted (Myopic,Myopia)
09095100103105109110115116117119120121122125126128129130132133134135136137138140142143144145150151152154155158160162169170176190200230
YES4.7%    0.0%1.9%    0.9%    2.8%    0.0%0.9%    0.9%    2.8%    0.9%    0.9%    0.0%0.0%1.9%    0.9%    0.9%    2.8%    0.0%1.9%    0.0%4.7%    0.9%    0.0%0.0%2.8%    1.9%    0.9%    0.9%    4.7%    1.9%    0.0%0.0%1.9%    1.9%    0.9%    1.9%    0.9%    0.9%    1.9%    1.9%    0.0%0.0%0.9%    0.9%    0.9%    0.9%    0.9%    
NO2.8%    0.0%0.9%    0.0%0.9%    0.9%    0.0%0.0%0.9%    0.0%0.0%0.9%    0.9%    0.0%0.0%0.0%0.0%0.9%    0.9%    0.9%    5.7%    0.9%    0.9%    0.9%    0.0%0.9%    0.9%    3.8%    4.7%    0.9%    1.9%    1.9%    0.0%0.9%    0.0%0.0%0.0%0.0%0.0%0.0%0.9%    1.9%    0.0%0.0%0.0%0.0%0.0%




Correlation of 34: Allergies Vs. 33: Childhood Pets
Childhood pets have been suggested to prevent other allergies later in life.

166 Responses:
 Childhood Pets
 
Allergies
YESNO
YES22.3%    6.6%    
NO48.8%    21.7%    



Details:
So far our data supports that, but the 'had childhood pets' question does not account for the reason for no pets being pre-existing allergies to them - so another differently worded childhood-pets question must be added.



Correlation of 196: Breast Fed Vs. 195: Times Sick per Year
The first breast-feedings carry immune system components. One would therefore expect a child who has never breastfed at all to have an impaired immune system.

129 Responses:
 Times Sick per Year
 
Breast Fed
0123456-1011-2021+
YES2.3%    14.0%    17.1%    4.7%    1.6%    3.1%    3.1%    0.8%    1.6%    
NO2.3%    8.5%    12.4%    7.8%    7.0%    2.3%    2.3%    0.8%    0.0%




Correlation of 324: Children, Current # of Born Children Vs. 17: Siblings
One might expect a person to have roughly as many children as they had siblings - initial data seems to support this direct correlation.

127 Responses:
 Siblings
 
Children, Current # of Born Children
0123456712130
06.3%    11.8%    8.7%    2.4%    1.6%    1.6%    0.0%0.0%0.0%0.0%
0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%
10.8%    6.3%    5.5%    0.8%    0.8%    0.8%    0.8%    0.8%    0.8%    0.0%
23.9%    10.2%    4.7%    8.7%    3.9%    2.4%    0.8%    0.8%    0.0%0.8%    
30.0%1.6%    0.8%    3.9%    2.4%    0.8%    0.8%    0.0%0.0%0.0%
40.0%1.6%    0.0%0.0%1.6%    0.0%0.0%0.0%0.0%0.0%
60.0%0.0%0.0%0.8%    0.0%0.0%0.0%0.0%0.0%0.0%


31 Responses from Males:
Siblings
x Children, Current # of Born Children
0123456712130
03%    22%    6%    0%0%6%    0%0%0%0%
0%0%0%0%0%0%0%0%0%0%
10%9%    3%    0%0%3%    0%3%    0%0%
23%    16%    6%    6%    0%6%    0%0%0%0%
30%3%    0%0%0%0%0%0%0%0%
40%0%0%0%0%0%0%0%0%0%
60%0%0%0%0%0%0%0%0%0%


96 Responses from Females:
Siblings
x Children, Current # of Born Children
0123456712130
07%    8%    9%    3%    2%    0%0%0%0%0%
0%0%0%0%0%0%0%0%0%0%
11%    5%    6%    1%    1%    0%1%    0%1%    0%
24%    8%    4%    9%    5%    1%    1%    1%    0%1%    
30%1%    1%    5%    3%    1%    1%    0%0%0%
40%2%    0%0%2%    0%0%0%0%0%
60%0%0%1%    0%0%0%0%0%0%




Correlation of 324: Children, Current # of Born Children Vs. 386: Popularity - High School
It is expected that pecking order in social areas will determine number of children.

70 Responses:
 Popularity - High School
 
Children, Current # of Born Children
MUCH-MOREMOREAVGLESSMUCH-LESS
01.4%    4.3%    15.7%    1.4%    8.6%    
0.0%0.0%0.0%0.0%0.0%
12.9%    4.3%    0.0%8.6%    0.0%
20.0%2.9%    21.4%    14.3%    1.4%    
30.0%1.4%    2.9%    5.7%    0.0%
41.4%    0.0%1.4%    0.0%0.0%
60.0%0.0%0.0%0.0%0.0%




Correlation of 469: Heart Rate, Resting Vs. 471: Exercise
More exercise yeilds a lower resting heart rate.

36 Responses:
 Exercise
 
Heart Rate, Resting
MUCH-MOREMOREAVGLESSMUCH-LESS
00.0%0.0%2.8%    0.0%0.0%
450.0%0.0%0.0%2.8%    0.0%
570.0%2.8%    0.0%0.0%0.0%
590.0%2.8%    0.0%0.0%0.0%
600.0%0.0%2.8%    2.8%    2.8%    
650.0%0.0%5.6%    0.0%5.6%    
700.0%0.0%0.0%2.8%    0.0%
720.0%2.8%    0.0%0.0%2.8%    
750.0%0.0%2.8%    2.8%    0.0%
760.0%0.0%2.8%    0.0%0.0%
800.0%0.0%0.0%2.8%    2.8%    
810.0%2.8%    0.0%0.0%0.0%
820.0%0.0%0.0%2.8%    0.0%
840.0%0.0%5.6%    2.8%    0.0%
850.0%0.0%0.0%2.8%    0.0%
880.0%0.0%2.8%    0.0%0.0%
890.0%0.0%0.0%0.0%2.8%    
900.0%0.0%0.0%0.0%2.8%    
1000.0%0.0%0.0%2.8%    0.0%




Correlation of 308: Age Left Home Vs. 331: Abuse - Sexual

79 Responses:
 Abuse - Sexual
 
Age Left Home
YESNO
01.3%    1.3%    
141.3%    0.0%
150.0%0.0%
163.8%    1.3%    
173.8%    7.6%    
188.9%    30.4%    
191.3%    13.9%    
201.3%    6.3%    
210.0%3.8%    
220.0%6.3%    
230.0%1.3%    
240.0%1.3%    
251.3%    1.3%    
260.0%1.3%    
270.0%1.3%    




Correlation of 373: Heart Attacks Vs. 216: Diet - Red Wine
Red wine was said to reduce heart disease or heart attacks.

71 Responses:
 Diet - Red Wine
 
Heart Attacks
Very SmallSmallAverageLargeVery Large
052.1%    12.7%    15.5%    8.5%    1.4%    
11.4%    0.0%1.4%    0.0%0.0%




Correlation of 373: Heart Attacks Vs. 310: Alcohol Consumption
Red wine was said to reduce heart disease or heart attacks. What about alcohol in general?

75 Responses:
 Alcohol Consumption
 
Heart Attacks
01234567810111215162530
052.0%    0.0%9.3%    4.0%    8.0%    1.3%    2.7%    1.3%    4.0%    2.7%    4.0%    1.3%    0.0%1.3%    2.7%    0.0%2.7%    
10.0%0.0%2.7%    0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%




Correlation of 373: Heart Attacks Vs. 220: Diet - Beer
Red wine was said to reduce heart disease or heart attacks. What about specifically beer?

68 Responses:
 Diet - Beer
 
Heart Attacks
Very SmallSmallAverageLargeVery Large
052.9%    11.8%    10.3%    5.9%    1.5%    
12.9%    0.0%0.0%0.0%0.0%




Correlation of 157: Spanked Vs. 41: Perceiving or Judging
Spanked children are lest likely to be Judging type.

146 Responses:
 Perceiving or Judging
 
Spanked
PerceivingJudging
Never6.2%    1.4%    
A Few Times Ever26.0%    17.8%    
Yearly4.8%    1.4%    
Monthly15.8%    4.8%    
Weekly6.8%    7.5%    
Daily2.7%    1.4%    




Correlation of 2: Dominant Hand Vs. 21: Finger Length Ratio 2D:4D
Left handedness has been attributed to a stress on the fetus which high androgens levels could cause.

185 Responses:
 Finger Length Ratio 2D:4D
 
Dominant Hand
2D is much longer than 4D2D is longer than 4D2D is the same length as 4D2D is shorther than 4D2D is much shorther than 4D
Left0.5%    0.0%3.2%    0.5%    1.1%    
Right3.2%    19.5%    22.2%    40.0%    1.1%    
Ambidextrous0.5%    2.2%    2.7%    2.2%    0.5%    


34 Responses from Males:
Finger Length Ratio 2D:4D
x Dominant Hand
2D is much longer than 4D2D is longer than 4D2D is the same length as 4D2D is shorther than 4D2D is much shorther than 4D
Left0%0%0%0%0%
Right0%14%    11%    67%    0%
Ambidextrous0%0%2%    2%    0%


149 Responses from Females:
Finger Length Ratio 2D:4D
x Dominant Hand
2D is much longer than 4D2D is longer than 4D2D is the same length as 4D2D is shorther than 4D2D is much shorther than 4D
Left0%0%4%    0%1%    
Right4%    20%    24%    34%    1%    
Ambidextrous0%2%    2%    2%    0%




Correlation of 231: Skin Tags Vs. 195: Times Sick per Year
These 2 seem to directly correlate, both being a measure of effectiveness of the immune system.

96 Responses:
 Times Sick per Year
 
Skin Tags
0123456-1011-2021+
YES1.0%    9.4%    11.5%    7.3%    5.2%    3.1%    6.2%    0.0%1.0%    
NO4.2%    13.5%    17.7%    4.2%    4.2%    4.2%    2.1%    2.1%    1.0%    




Correlation of 386: Popularity - High School Vs. 385: Popularity - Grade School
It is expected that most respondants will be similarly popular in both high school and gade school. Cases where the answers do not align will warrent further investigation into causes.

70 Responses:
 Popularity - Grade School
 
Popularity - High School
MUCH-MOREMOREAVGLESSMUCH-LESS
MUCH-MORE2.9%    0.0%1.4%    0.0%1.4%    
MORE1.4%    7.1%    2.9%    0.0%1.4%    
AVG0.0%2.9%    35.7%    2.9%    0.0%
LESS0.0%0.0%7.1%    20.0%    2.9%    
MUCH-LESS0.0%0.0%1.4%    4.3%    4.3%    


21 Responses from Males:
Popularity - Grade School
x Popularity - High School
MUCH-MOREMOREAVGLESSMUCH-LESS
MUCH-MORE4%    0%4%    0%4%    
MORE0%19%    4%    0%4%    
AVG0%4%    33%    0%0%
LESS0%0%0%9%    0%
MUCH-LESS0%0%0%9%    0%


49 Responses from Females:
Popularity - Grade School
x Popularity - High School
MUCH-MOREMOREAVGLESSMUCH-LESS
MUCH-MORE2%    0%0%0%0%
MORE2%    2%    2%    0%0%
AVG0%2%    36%    4%    0%
LESS0%0%10%    24%    4%    
MUCH-LESS0%0%2%    2%    6%    




Correlation of 20: Social Adjustment Vs. 386: Popularity - High School
Which of these casues the other is not yet known, but they directly correlate well as one might expect.

70 Responses:
 Popularity - High School
 
Social Adjustment
MUCH-MOREMOREAVGLESSMUCH-LESS
Very Poorly0.0%0.0%0.0%0.0%0.0%
Poorly1.4%    2.9%    0.0%8.6%    2.9%    
Avgerage0.0%4.3%    17.1%    12.9%    2.9%    
Better than Avg1.4%    4.3%    22.9%    5.7%    4.3%    
Much better than Avg2.9%    1.4%    1.4%    2.9%    0.0%




Correlation of 388: Salary Vs. 1: Gender
Does gender affect salary?

70 Responses:
 Gender
 
Salary
XX (Female)XY (Male)XXXXXXXXXXY
None, student or minor1.4%    0.0%0.0%0.0%0.0%0.0%
None, house wife/husband12.9%    1.4%    0.0%0.0%0.0%0.0%
None, unemployed8.6%    0.0%0.0%0.0%0.0%0.0%
Minimum Wage Part Time0.0%0.0%0.0%0.0%0.0%0.0%
Minimum Wage Full Time0.0%0.0%0.0%0.0%0.0%0.0%
Lower Middle Class Pay25.7%    15.7%    0.0%0.0%0.0%0.0%
Upper Middle Class Pay20.0%    11.4%    0.0%0.0%0.0%0.0%
Executive Pay0.0%0.0%0.0%0.0%0.0%0.0%
Celebrity Pay0.0%0.0%0.0%0.0%0.0%0.0%




Correlation of 371: Cholesterol Vs. 398: Diet - Egg Yolks
Do egg yolks affect cholestorol?

63 Responses:
 Diet - Egg Yolks
 
Cholesterol
01234567891012131420
MUCH-HIGHER3.2%    1.6%    0.0%0.0%1.6%    0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%
HIGHER3.2%    3.2%    3.2%    3.2%    3.2%    3.2%    0.0%0.0%1.6%    1.6%    0.0%0.0%1.6%    0.0%0.0%
AVG0.0%6.3%    9.5%    3.2%    12.7%    0.0%1.6%    0.0%0.0%0.0%1.6%    0.0%0.0%1.6%    1.6%    
LOWER1.6%    0.0%3.2%    1.6%    3.2%    1.6%    1.6%    1.6%    0.0%0.0%0.0%1.6%    0.0%0.0%0.0%
MUCH-LOWER1.6%    0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%




Correlation of 371: Cholesterol Vs. 399: Diet - Eggs
Do whole eggs affect cholestorol?

63 Responses:
 Diet - Eggs
 
Cholesterol
0123456789101213142032
MUCH-HIGHER1.6%    1.6%    0.0%0.0%1.6%    1.6%    0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%
HIGHER0.0%4.8%    3.2%    4.8%    3.2%    3.2%    0.0%0.0%1.6%    1.6%    0.0%0.0%1.6%    0.0%0.0%0.0%
AVG0.0%6.3%    11.1%    1.6%    11.1%    0.0%1.6%    0.0%0.0%0.0%1.6%    0.0%0.0%1.6%    1.6%    1.6%    
LOWER1.6%    0.0%3.2%    1.6%    3.2%    1.6%    1.6%    1.6%    0.0%0.0%0.0%1.6%    0.0%0.0%0.0%0.0%
MUCH-LOWER1.6%    0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%




Correlation of 149: Gesticulation Vs. 177: Verbal Skill

107 Responses:
 Verbal Skill
 
Gesticulation
MUCH-HIGHERHIGHERAVGLOWERMUCH-LOWER
YES26.2%    30.8%    18.7%    2.8%    0.0%
NO7.5%    6.5%    4.7%    0.9%    0.0%




Correlation of 386: Popularity - High School Vs. 441: Grades - High-School

52 Responses:
 Grades - High-School
 
Popularity - High School
A+ 98-100A 94-97B+ 89-93B 84-88C+ 79-83C 72-78D 65-71F 0-65
MUCH-MORE1.9%    0.0%1.9%    0.0%1.9%    0.0%0.0%0.0%
MORE1.9%    1.9%    7.7%    1.9%    0.0%0.0%0.0%0.0%
AVG3.8%    9.6%    11.5%    7.7%    5.8%    3.8%    0.0%0.0%
LESS5.8%    7.7%    5.8%    1.9%    3.8%    1.9%    0.0%0.0%
MUCH-LESS0.0%3.8%    3.8%    1.9%    0.0%0.0%1.9%    0.0%




Correlation of 22: Distinct Canines Vs. 219: Diet - Red Meat
Apparently people with fangs eat more red meat. Seems expected as the teath are for tearing flesh.

99 Responses:
 Diet - Red Meat
 
Distinct Canines
Very SmallSmallAverageLargeVery Large
YES4.0%    2.0%    13.1%    6.1%    1.0%    
NO8.1%    19.2%    32.3%    14.1%    0.0%




Correlation of 21: Finger Length Ratio 2D:4D Vs. 175: Aggressive / Peace-seeker
Prenatal exposure to androgen affects 2D:4D finger ration and has been suggested to also increase adult aggression/violence/crime.

148 Responses:
 Aggressive / Peace-seeker
 
Finger Length Ratio 2D:4D
AggressivePeace-seeker
2D is much longer than 4D0.0%4.1%    
2D is longer than 4D2.7%    16.9%    
2D is the same length as 4D4.7%    23.0%    
2D is shorther than 4D9.5%    33.1%    
2D is much shorther than 4D0.0%2.7%    


31 Responses from Males:
Aggressive / Peace-seeker
x Finger Length Ratio 2D:4D
AggressivePeace-seeker
2D is much longer than 4D0%0%
2D is longer than 4D0%12%    
2D is the same length as 4D6%    6%    
2D is shorther than 4D19%    51%    
2D is much shorther than 4D0%0%


117 Responses from Females:
Aggressive / Peace-seeker
x Finger Length Ratio 2D:4D
AggressivePeace-seeker
2D is much longer than 4D0%5%    
2D is longer than 4D3%    17%    
2D is the same length as 4D4%    27%    
2D is shorther than 4D6%    28%    
2D is much shorther than 4D0%3%    




Correlation of 219: Diet - Red Meat Vs. 6: IQ
So far it seems that eating more red meat correlates with a higher IQ. Maybe becasue higher IQ -> higher income -> more meat in diet?

72 Responses:
 IQ
 
Diet - Red Meat
09095100103105109110115116117119120121122125126128129130132133134135136137138140142143144145150151152154155158160162169170176190200230
Very Small0.0%0.0%1.4%    0.0%0.0%1.4%    0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%1.4%    0.0%0.0%2.8%    0.0%1.4%    0.0%0.0%1.4%    0.0%0.0%1.4%    1.4%    0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%1.4%    0.0%0.0%0.0%0.0%0.0%0.0%0.0%
Small2.8%    0.0%0.0%0.0%0.0%0.0%0.0%0.0%1.4%    0.0%0.0%1.4%    0.0%0.0%0.0%0.0%2.8%    0.0%1.4%    0.0%5.6%    0.0%0.0%0.0%0.0%0.0%1.4%    0.0%0.0%0.0%0.0%0.0%1.4%    0.0%0.0%0.0%0.0%0.0%0.0%0.0%1.4%    0.0%0.0%0.0%0.0%0.0%0.0%
Average2.8%    0.0%1.4%    1.4%    1.4%    0.0%0.0%0.0%4.2%    1.4%    0.0%0.0%0.0%2.8%    1.4%    1.4%    1.4%    0.0%0.0%0.0%1.4%    1.4%    0.0%1.4%    1.4%    2.8%    0.0%1.4%    5.6%    1.4%    1.4%    1.4%    0.0%0.0%1.4%    1.4%    0.0%0.0%0.0%0.0%0.0%1.4%    0.0%0.0%0.0%1.4%    1.4%    
Large0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%1.4%    1.4%    1.4%    1.4%    0.0%0.0%0.0%0.0%0.0%0.0%2.8%    0.0%1.4%    1.4%    0.0%1.4%    0.0%0.0%0.0%1.4%    0.0%1.4%    0.0%1.4%    1.4%    0.0%0.0%0.0%0.0%
Very Large0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%1.4%    0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%0.0%




Correlation of 380: Diet - Hydrogenated Fat Vs. 371: Cholesterol
Does margerine lower or raise your cholestorol?

69 Responses:
 Cholesterol
 
Diet - Hydrogenated Fat
MUCH-HIGHERHIGHERAVGLOWERMUCH-LOWER
04.3%    15.9%    15.9%    10.1%    0.0%
0.0%1.4%    1.4%    0.0%0.0%
12.9%    4.3%    13.0%    4.3%    1.4%    
20.0%2.9%    7.2%    0.0%0.0%
30.0%0.0%4.3%    0.0%0.0%
40.0%0.0%0.0%0.0%0.0%
50.0%1.4%    0.0%1.4%    0.0%




Correlation of 381: Diet - Butter Vs. 371: Cholesterol
Does butter affect your cholestorol?

68 Responses:
 Cholesterol
 
Diet - Butter
MUCH-HIGHERHIGHERAVGLOWERMUCH-LOWER
02.9%    8.8%    10.3%    2.9%    0.0%
14.4%    7.4%    19.1%    4.4%    0.0%
20.0%4.4%    8.8%    4.4%    0.0%
30.0%2.9%    0.0%0.0%0.0%
40.0%1.5%    2.9%    2.9%    0.0%
50.0%0.0%0.0%1.5%    0.0%
60.0%1.5%    0.0%0.0%0.0%
90.0%0.0%0.0%0.0%1.5%    




Correlation of 366: Wisdom Tooth Extraction Vs. 54: Brow Ridges
People with well defined brow ridges are less likely to need their wisdom teeth extracted.

75 Responses:
 Brow Ridges
 
Wisdom Tooth Extraction
YESNO
NO, & not anticipated NO, but anticipated8.0%    14.7%    
YES, Upper9.3%    6.7%    
YES, Lower4.0%    4.0%    
YES, ALL22.7%    25.3%    

Results: [1-50][51-100][101-150]....[1251-1293]
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