a. Employee job satisfaction (high, normal, low) and employee success (0-2 promotions, 3-5 promotions, 5+ promotions) are to be studied in three different departments of a company.
b. Consumers making a brand choice decision between three brands of coffee are influenced by their own income levels and the extent of advertising of the brands.
c. Consumer choice of color in fabrics is largely dependent on ethnicity, income levels, and the temperature of the geographic area. There is detailed area wide demographic data on income levels, ethnicity, and population, as well as the weather bureau’s historical data on temperature. How would you identify geographic areas for selling dark-colored fabric? You have sample data for 200 randomly selected consumers: their fabric color choice, income, ethnicity, and the average temperature of the area where they live.
What kind of HELP do you need? You need to be specific when asking questions here.
If all you do is post your entire assignment, with no evidence of thinking on your part, nothing will happen since no one here will do your work for you. But if you are specific about what you don't understand about the assignment or exactly what help you need, someone might be able to assist you.
Due to the planting of seeds in different climate areas.
What multivariate technique would you use to analyze each of the following problems? Explain you choice in detail
You have sample data for 200 randomly selected consumers: their fabric color choice, income, ethnicity, and the average temperature of the area where they live.
To identify geographic areas for selling dark-colored fabric, you can use the sample data of 200 randomly selected consumers and analyze their fabric color choice, income, ethnicity, and the average temperature of the area where they live. Here's a step-by-step process:
1. Data Preparation:
- Collect the sample data for the 200 consumers, including fabric color choice, income, ethnicity, and average temperature.
- Ensure that the data is clean and free of any errors or missing values.
2. Data Analysis:
- Calculate the frequency and distribution of fabric color choices in the sample data to identify the popularity of dark-colored fabrics.
- Group the consumers based on different income levels, ethnicity, and average temperature ranges.
- For each group, determine the proportion of consumers who prefer dark-colored fabric.
3. Identify Significant Factors:
- Use statistical techniques (such as chi-square test or logistic regression) to determine the significance of each factor (income, ethnicity, temperature) in predicting the fabric color choice.
- Identify which factors have a strong influence on the choice of dark-colored fabric.
4. Geographic Mapping:
- Utilize the area-wide demographic data on income levels, ethnicity, and population. Identify areas where the population composition matches the ethnicities that have a preference for dark-colored fabrics.
- Refer to the weather bureau's historical data on temperature. Identify areas with average temperatures that are favorable for the preference of dark-colored fabrics.
5. Further Analysis:
- Explore additional insights from the sample data, such as any patterns or correlations between income levels, ethnicity, temperature, and fabric color choices.
- Consider conducting further research or data collection to validate and refine the findings.
By following this process, you can identify geographic areas that are suitable for selling dark-colored fabric based on consumer preferences, income levels, ethnicity, and temperature.