Using SAS Extend your regression model for Tcount on working day by including the numerical and categorical predictors. In building your model consider as many potential explanatory variables as possible (you may need to define additional dummy variables). You can use stepwise selection to help you find the most parsimonious (simplest) model with the highest R-square. Be sure to check for collinearity and keep in mind that neither registered nor casual should be used as explanatory variables for the total number of users. Summarise how your final model was obtained, including rationale for any modelling decisions you have made, and indicate why that final was considered the 'best'. Report and interpret your final model in detail, including a discussion of model diagnostics. Are there any observations that may require further inspection due to their influence on the model?

data = hourlyRent.sas7bdat