How does the number of attributes of a variable impact the number of cells in the cross-tabulation table and what does each cell represent?
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.
How does the number of attributes of a variable impact the number of cells in the cross-tabulation table and what does each cell represent?
A cross-tabulation is a two- (or more) dimensional table that records the number (frequency) of respondents that have the specific characteristics described in the cells of the table. There will be two types of categorical variables: Table variables and Grouping variables. The values of the Table variables are used to define the rows and columns of a single contingency table. Two Table variables are used for each table, one variable defining the rows of the table and the other defining the columns.
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