Final answer:
The correct answer is option D. The analytic method used to analyze data collected from conjoint analysis is Regression, which helps determine the influence of product attributes on consumer preferences.
Step-by-step explanation:
The analytic method used to analyze the data collected using a conjoint analysis is Regression. Conjoint analysis is a statistical technique used in market research to determine how people value different attributes that make up an individual product or service. The goal is to find out what combination of a limited number of attributes is most influential on respondent choice or decision making. A typical approach to analyzing conjoint analysis data is by using multiple regression, which can estimate the contribution of each attribute level to the overall preference score.
A step-by-step approach for analyzing conjoint analysis data using regression may include:
- Identifying the independent (attributes) and dependent variables (preferences).
- Creating a coding scheme for the attribute levels.
- Performing regression analysis to determine how much each level of each attribute affects the dependent variable.
- Interpreting the regression coefficients to understand the importance of each attribute and its levels.
Therefore, the correct answer to which following analytic method is used to analyze the data collected using a conjoint analysis is D. Regression.