Sleep health & lifestyle

This project presents an analytical report developed using IBM SPSS to examine the relationship between sleep quality and various lifestyle factors. The dataset includes 400 entries and 13 variables covering attributes such as gender, age, physical activity, stress, BMI, sleep duration, and sleep disorders. The analysis includes descriptive statistics, linear regression, and logistic regression to identify significant predictors of sleep patterns and health outcomes. Charts and statistical outputs were visualized and interpreted to provide meaningful insights.