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.