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Data in the European market was gathered on the penetration of microwave ovens. The data collected consisted of three potential segmentation variables (income, participation of women in the labor force, and per-capita consumption of frozen foods). Which of the following methods would probably be used to obtain a picture of the segments for microwave usage?

a. the mean
b. the median
c. random block design analysis d. Latin square design analysis
e. regression analysis

User Optimax
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1 Answer

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Final answer:

The correct answer is option e. regression analysis. Regression analysis would be the most appropriate method to obtain a picture of the segments for microwave usage based on the given data.

Step-by-step explanation:

The correct answer is option e. regression analysis. Regression analysis would be the most appropriate method to obtain a picture of the segments for microwave usage based on the given data. Regression analysis is a statistical technique that allows researchers to identify relationships between variables, in this case, the penetration of microwave ovens and the segmentation variables (income, participation of women in the labor force, and per-capita consumption of frozen foods). By analyzing the data using regression analysis, researchers can determine how these variables affect microwave usage and identify different segments based on their characteristics.

In the context of market research regarding the penetration of microwave ovens in the European market and the segmentation variables such as income, participation of women in the labor force, and per-capita consumption of frozen foods, regression analysis is utilized to understand the relationship between these variables and microwave usage. Regression analysis helps identify which factors are significant predictors of microwave penetration and how they relate to each other. This method is not only useful for providing a picture of the segments for microwave usage but also for forecasting trends based on influencing factors.

User Sameer Sarmah
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