I worked on the Research dataset that was subsequently divided into training and testing set, computed the average service time for each type of study, and gets ready features and target variables for a linear regression model. Then forecasted service times on the test set and The script uses matplotlib to show the regression line and Root Mean Squared Error (RMSE) to evaluate the model. The final result is a figure that shows how the average service time is predicted by the linear regression model depending on the type of study.