marketing analytics

1. ​Explain​ ​the characteristics/properties of a ​discrete variable​ and a ​continuous variable​ with an example for each variable type.

2. ​Discuss​ appropriate ​univariate analyses​ for discrete variables and continuous variables.

3. ​Explain​ the ​four bivariate analysis types​ (i.e., cross-tabulation/decision tree, ANOVA, logistic regression, and regression) based on the data types of Y and X.

4. ​Provide​ ​an example of decision tree analysis by ​specifying​ Y and at least three Xs.

Y:

X:

Q5~Q6. Regression analysis 5. ​Set up a multiple regression model​, using betas and the error term, with one continuous variable and one dummy variable for the independent variables. ​Specify​ the names of Y and Xs.

6. ​Interpret the meanings of the coefficients​ of the continuous and dummy independent variables that you use in Q5, respectively.