Building a multiple linear regression model for the prediction of demand for shared bikes.
Business Goal: You are required to model the demand for shared bikes with the available independent variables. It will be used by the management to understand how exactly the demands vary with different features. They can accordingly manipulate the business strategy to meet the demand levels and meet the customer's expectations. Further, the model will be a good way for management to understand the demand dynamics of a new market.
FINAL RESULT COMPARISON:
Train data r^2 : 79.3
Test data r^2 : 77.93
Train data adjusted r^2 : 79.01
Test data adjusted r^2 : 76.81
As per our final Model, the below predictor variables influences bike booking :
temperature season_spring month_July year_2019 month_Oct holiday_1
Created by [@thomson18] - feel free to contact me!