1. Implement the single variable linear regression for the attached student score dataset (CSV file). 80% of the dataset is used for training and 20% is used for testing. (The first column is the feature and second column is the corresponding output.) Output the prediction results. (5 points)

Hours,Scores

2.5,21

5.1,47

3.2,27

8.5,75

3.5,30

1.5,20

9.2,88

5.5,60

8.3,81

2.7,25

7.7,85

5.9,62

4.5,41

3.3,42

1.1,17

8.9,95

2.5,30

1.9,24

6.1,67

7.4,69

2.7,30

4.8,54

3.8,35

6.9,76

7.8,86