6. Cross tabulations Problem: The following crosstabulation shows household income by educational level of the head of household (Statistical Abstract of the United States: 2008) Household Income ($1000s) Under 25 25.0- 49.9 50.0- 74.9 75.0- 99.9 100 or Educational Level more Total Not H.S. graduate H.S. graduate Some college Bachelor's degree Beyond bach. deg. 4,207 4,917 2,807 3,459 6,850 5,258 2,094 829 1,389 5,027 4,678 2,848 1,274 539 2,637 3,250 2,581 1,241 367 2,668 4,074 5,379 4,188 9,961 22,099 20,067 13,787 7,822 885 290 Total 13,106 18,490 15,216 10,248 16,676 73,736
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.
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