Explain the four bivariate analysis types


Assignment: 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.

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.

Format your assignment according to the following formatting requirements:

(1) The answer should be typed, double spaced, using Times New Roman font (size 12), with one-inch margins on all sides.

(2) The response also includes a cover page containing the title of the assignment, the student's name, the course title, and the date. The cover page is not included in the required page length.

(3) Also include a reference page. The Citations and references should follow APA format. The reference page is not included in the required page length.

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