When to Use Regression Models?
Regression Analysis Is Used When You Want to Predict a Continuous Dependent Variable from a Number of Independent Variables. If the Dependent Variable Is...
Regression analysis is used when you want to predict a continuous dependent variable from a number of independent variables. If the dependent variable is dichotomous, then logistic regression should be used.
What is the purpose for using a model in regression analysis?
Typically, a regression analysis is done for one of two purposes: In order to predict the value of the dependent variable for individuals for whom some information concerning the explanatory variables is available, or in order to estimate the effect of some explanatory variable on the dependent variable.
When should I use linear regression?
Linear regression analysis is used to predict the value of a variable based on the value of another variable. The variable you want to predict is called the dependent variable. The variable you are using to predict the other variable's value is called the independent variable.
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