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Linear regression is the most basic and commonly used predictive analysis. Regression estimates are used to describe data and to explain the relationship between one dependent variable and one or more independent variables.
For example, when intervals are granular, the researcher may decide to define the variable as Continuous, and for coarser intervals, Categorical. The number of independent and dependent variable in the experiment also affect which statistical test to choose. For example, linear regression applies when the researcher compares 1 continuous dependent variable and 1 continuous independent variable.