1. **Stating the problem:** We are given a table showing percentages of EU image perception categories across different daily newspaper use frequencies. The goal is to understand the distribution and relationships between these categories. 2. **Understanding the table:** The table is a 5x6 matrix with rows representing EU image perceptions: Very positive, Fairly positive, Neutral, Fairly negative, Very negative. Columns represent newspaper use frequency: Everyday, Several times a week, Once or twice a week, Less often, Never, and Total. 3. **Interpreting percentages:** Each cell shows the percentage of respondents in that perception category who fall into that newspaper use frequency. 4. **Example calculation:** For "Very positive" and "Everyday" use, the percentage is 24.9%. This means 24.9% of respondents who view the EU image as very positive read newspapers every day. 5. **Total respondents:** The last row shows total respondents per frequency category, e.g., 643 read every day. 6. **Using the data:** To find the number of respondents who are "Very positive" and read every day, multiply the total in "Everyday" by the percentage: $$643 \times \frac{24.9}{100} = 160.11$$ 7. **Summary:** This table helps analyze how EU image perception correlates with newspaper reading frequency. Final answer: The table provides percentage distributions of EU image perceptions across newspaper use frequencies, allowing calculation of respondent counts by multiplying totals by percentages.