Q5: Consider the following Delivery Time Data: Observation Number Delivery Time (Minutes) Number of Cases Distance (Feet
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Q5: Consider the following Delivery Time Data: Observation Number Delivery Time (Minutes) Number of Cases Distance (Feet
Q5: Consider the following Delivery Time Data: Observation Number Delivery Time (Minutes) Number of Cases Distance (Feet) 7 560 220 340 80 150 330 110 210 1460 9 10 215 16.68 11.50 12.03 14.88 13.75 18.11 8.00 17.83 79.24 21.50 10:33 21.00 13.50 19.75 24,00 29,00 15.35 19.00 9.50 35.10 17.90 $2.32 18.75 1983 10.75 4 12 13 14 15 16 17 18 19 20 21 22 23 235 448 776 200 132 36 770 140 810 450 17 26 635 25 150 Firstly, randomly divide this data into two sets: Train Data set (% 80 of all data) and Test Data set (% 20 of all data). Construct multiple linear regresion for Train Data set and then test your model on Test Data set. Calculate the following measures MSE (mean squared error) and RMSE (root mean squared error) both for Tarin and Test Data sets.
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