Population by Sex and Selected Age Groups: 2000 and 2010 (For information on confidentiality protection, nonsampling error, and definitions, see www.census.gov/prod/cen2010/doc/sf1.pdf 2000 Number 281,421,906 2010 Change, 2000 to 2010 Sex and selected age groups Percent Number Percent Number Percent Total populatlon 100.0 308,745,538 100.0 27,323,632 SEX Male Female SELECTED AGE GROUPS Under 18 years 138,053,563 143,368,343 151,781,326 156,964,212 49.2 50.8 13,727,763 13,595,869 50.9 72,293,812 19,175,798 53,118,014 112,183,705 27,143,454 85,040,251 61,952,636 34,991,753 217,149,127 209,128,094 196,899,193 41,256,029 74,181,467 20,201,362 53,980,105 112,806,642 30,672,088 82,134,554 81,489,445 40,267,984 25.7 24.0 1,887,655 1,025,564 862,091 622,937 3,528,634 -2,905,697 19,536,809 5,276,231 26,126,378 25,435,977 24,059,660 8,716,152 Under 5 years 5 to 17 years 18.9 39.9 17.5 18 to 44 years 18 to 24 years 25 to 44 years 13.0 -3.4 30.2 22.0 26.6 26.4 13.0 45 to 64 years 65 years and over 78.8 76.0 12.0 12.2 12.2 16 years an d over 8 years and over 1 years and over 62 years and over 243,275,505 234,564,071 220,958,853 49,972,181 74.3 70.0 16.2 Sources: U.S. Census Bureau, Census 2000 Summary File 1and 2010 Census Summary File 1

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Correlation

Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.

Linear Correlation

A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related. 

Regression Analysis

Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.