Linear Regression Analysis of CVD and Anxiety

This solved assignment explores the relationship between anxiety and cardiovascular disease (CVD) using linear regression. The analysis provides key metrics such as Adjusted R-squared, Standard Error of the Estimate, F-statistic, p-value, and regression coefficients. ANOVA results indicate a statistically significant relationship. Residual statistics further assess the model's performance.