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 (R^2). 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, and $r = 0.60$ for community influence and career goal confidence, both indicate moderate positive relationships. 6. The regression result $R^2 = 0.42$ means 42% of the variance in career planning is explained by community influence. 7. This implies community influence is a significant predictor of career planning among these students. 8. Summary: Community factors positively and moderately influence career planning, clarity, and confidence in career goals. Final answer: Community influence significantly explains 42% of the variance in career planning, with moderate positive correlations to clarity ($r=0.65$) and confidence ($r=0.60$) in career goals.