what are the classification of variables
Not continuous => Discrete variable. Continuous => Continuous variable.
statistics
It measures associations between variables.
In statistics, bivariate data refers to data that comes with two variables.
There are two main ways in which variables can be classified:They can be classified according to their functional role intocontrol,independent, ordependent.They can also be classified by the values that they can take, intoqualitative: categorical eg apple, banana, orangequantitative: numerical data. these can be further classified into discrete or continuous.
Not continuous => Discrete variable. Continuous => Continuous variable.
There are many ways of categorising variables. One classification, used in statistics, is Nominal, Ordinal and Interval.
statistics
It measures associations between variables.
The classic four Ps classification of marketing mix variables (product, price, promotion, and place) emerged as a marketing principle.
Sample statistics
Explanatory and Response variables are just fancy words for independent and dependent variables. Explanatory is the independent variable and response is the dependent variable.
Sample Statistics
Analytical statistics
In statistics, bivariate data refers to data that comes with two variables.
There are two main ways in which variables can be classified:They can be classified according to their functional role intocontrol,independent, ordependent.They can also be classified by the values that they can take, intoqualitative: categorical eg apple, banana, orangequantitative: numerical data. these can be further classified into discrete or continuous.
Nominal and ordinal variables are both qualitative or discrete variables. Nominal variables allow for only qualitative classification while an ordinal variable is a nominal variable, but its different states are ordered in a meaningful sequence.