Using the average daily arrival rates for the months of January through June 2012, a simple linear regression model for the data documenting public transportation usage. The single causal factor considered was a linear trend. The resulting regression coefficient estimates were: Aˆ0 = 1225.3 and Aˆ1 = 52.67 where Aˆ0 is the estimate for the level (or intercept) and Aˆ1 is the estimate for the trend (or slope). Use this model to predict average daily arrival rates for July through December 2012.