Consider the results of the regression of monthly real estate loans (RE) in billions of dollars by commercial banks over the period January 2005 through September 2008 in the following table: Time Series Regression Results for Real Estate Loans Model: RE - bo + b + + t - 1, 2, ..., 45 R2 0.967908 0.9671617 29.587649 Adjusted R2 Standard error Observations Durbin-Watson 45 0.601 Coefficients 1195.6241 Standard Error 8.9704362 Intercept b. 12.230448 0.3396171 6. The forecasted value of real estate loans for October 2008 is closest to: A. $1,733.764 billion. B. $1,745.990 billion. C. $1,758.225 billion. 7. Based on the time series regression results, is there evidence of serial correlation of the residuals? A. Yes positive, but not negative serial correlation. B. Yes negative, but not positive serial correlation, C. Neither positive nor negative serial correlation