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README.md
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@@ -90,3 +90,53 @@ Mental health is one of the strongest predictors.
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**Result:** Minimal effect.
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**Result:** Minimal effect.
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---
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# 🔥 **Additional Analysis**
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### **Regression Summary (full model)**
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### **Correlation Heatmap of All Variables**
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---
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# 📁 Dataset Structure (Data Dictionary)
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| Column Name | Description |
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|--------------------------|-------------|
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| student_id | Unique student ID |
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| age | Age of the student |
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| gender | Male/Female/Other |
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| study_hours_per_day | Hours studied per day |
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| sleep_hours | Sleep duration in hours |
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| social_media_hours | Daily hours spent on social media |
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| netflix_hours | Hours spent watching Netflix |
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| part_time | Whether student works (Yes/No) |
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| attendance_percentage | Class attendance percent |
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| sleep_hours | Sleep duration |
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| diet_quality | Poor / Fair / Good |
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| exercise_frequency | Weekly exercise frequency |
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| parental_education_level | Parent education (High school, Bachelor, Master…) |
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| internet_quality | Poor/Average/Good |
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| mental_health_rating | Scale 1–10 |
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| extracurricular | Participates in activities (Yes/No) |
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| exam_score | Final exam score |
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---
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# 🧾 **Conclusion**
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Study time, mental health, and exercise show positive influence on exam scores.
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Netflix hours and heavy social media use show negative or weak negative effects.
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Lifestyle factors such as attendance, diet, and internet quality matter less than expected.
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Students who balance healthy routines — good study habits, sleep, mental well-being, and moderate screen time — tend to perform better academically.
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---
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# ✅ Project Completed by
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💛 **Lipaz Levy**
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Reichman University — Data Analysis Project
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