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. (note: use tool python3/jupyter notebook)

AutoSave Off student_scores.csv - Excel File Home Insert Page Layout Formulas Data Review View X cut Lg Copy Calibri 11 == Paste A Format Painter Clipboard IN Font N Alignm POSSIBLE DATA LOSS Some features might be lost if you save this workbook in the comma 09 B C D F G H 1 Hours Scores 2. 2.5 21 3 5.1 47 4 3.2 27 5 8.5 75 6 3.5 30 7 1.5 20 8 9.2 88 9 60 10 11 5.5 8.3 2.7 81 25 7.7 85 5.9 12 13 14 15 62 4.5 41 3.3 42 16 1.1 17 17 8.9 95 18 2.5 30 1.9 24 67 19 20 21 22 23 69 6.1 7.4 2.7 4.8 30 54 24 3.8 25 35 76 6.9 7.8 26 27 86 student scores Type here to search