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Big data practical
HERE THERE IS SCREENSHOTS OF GRAPHS FROM ANACONDA ASSIGNMENT Qs1. student stress(max=100) and student's marks(max=100) ANS ; observation ; Student Stress and Marks : The linear regression model for this scenario shows that there is a negative correlation between student stress levels and their marks. As stress levels increase, marks tend to decrease. The model has an R-squared value of 0.75, indicating that it explains 75% of the variance in the data. Qs2. impact of student's social media usage(max=12hours) and student marks(max=100) ANS; observation ; Social Media Usage and Marks : The linear regression model for this scenario shows that there is a weak negative correlation between social media usage and student marks. As social media usage increases, marks tend to slightly decrease. The model has an R-squared value of 0.15, indicating that it explains 15% of the variance in the data.
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