Predictive Modelling Lessions

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In the statistics, we use data to derive the information. It helps in business, research and governance.  We also develop to predict the value or behaviour of any dependent variable based on the historical data. We have following categories of the model based on the type of the variable


When the dependent variable is continuous variable:

1.OLS  Linear Regression Model :  When the dependent variable is continuous variable and independent variables is/are continuous variable(s)
2.ANOVA:  When the dependent variable is continuous variable and independent variables is/are categorical variable(s)
3.ANCOVA :  When the dependent variable is continuous variable and as independent variables, we have   continuous  as well as categorical variables as independent variable.

When the dependent variable is categorical variable:

 1. Maximum Likelihood Logistic Regression Model :  When the dependent variable is categorical variable and independent variables is/are continuous variable(s)

2. Maximum Likelihood Logistic Regression Model :  When the dependent variable is categorical  variable and independent and we have   continuous  as well as categorical variables as independent variable.

3. Contingency Table :  When the dependent variable is categorical  variable and independent variable(s) is/are also categorical in nature.

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