1. The problem involves understanding the relationship between community influence and career planning among Grade 12 GAS students. 2. Key statistics given are means (M), standard deviations (SD), correlation coefficients (r), and coefficient of determination (R²). 3. The correlation coefficient $r$ measures the strength and direction of a linear relationship between two variables, ranging from -1 to 1. 4. The coefficient of determination $R^2$ represents the proportion of variance in the dependent variable explained by the independent variable. 5. Given $r = 0.65$ for community influence and clarity of career goals, this indicates a strong positive correlation. 6. Given $r = 0.60$ for community influence and career goal confidence, this also indicates a strong positive correlation. 7. The regression result $R^2 = 0.42$ means 42% of the variance in career planning is explained by community influence. 8. This implies community influence is a significant predictor of career planning among the students. 9. Summary: Community factors have a moderate to strong positive effect on career planning, clarity, and confidence in career goals.