Part 2: Time Series Models: 
Using Functions of Time and old Y to Forecast new Y

11 7/15
Ch. 6
Time Series Regression (section 6.1-6.5)
Cod   Calculators   Loans   Hotels
(no homework due)
12 7/20 Ch. 7 Minimizing SSE Revisited
Out of Sample Validation
7.1 Multiplicative Decomposition
          Proportional Seasonal Variation
         Rocky Gold p. 1-3, 6-13, 20-22
          Jewelry       Blocks      TastyCola-analysis
7.2 Additive Decomposition:  Constant Seasonal Variation
Assignment 8 Due
Transformations
Teams allowed.
13 7/22 5,6,
7,9
ARIMA and Box Jenkins
Assignment 9 Due
Time Series
14 7/27 Ch. 8 Exponential Smoothing
Simple     Holt   Comparison with Box Jenkins
Summary & Review

Assignment 10 Due:
Reading SAS output

7/29
Final Exam day: no class.  Turn in assignment in MgS office, 1000 RCB (35 Broad Street) by
5:00 P.M Wednesday July 27, or submit by fax or emailed pdf.  No Word of Excel submissions accepted.
Assignment 11 due
Exponential Smoothing
(Revised)