1. Using R, plot the data as a time plot of the quarterly revenues of Toys "R" Us between 1992 and 1995.

Index	QuarterYear	Revenue(in million $)	Quarter
1	Q1-92	1026	Q1
2	Q2-92	1056	Q2
3	Q3-92	1182	Q3
4	Q4-92	2861	Q4
5	Q1-93	1172	Q1
6	Q2-93	1249	Q2
7	Q3-93	1346	Q3
8	Q4-93	3402	Q4
9	Q1-94	1286	Q1
10	Q2-94	1317	Q2
11	Q3-94	1449	Q3
12	Q4-94	3893	Q4
13	Q1-95	1462	Q1
14	Q2-95	1452	Q2
15	Q3-95	1631	Q3
16	Q4-95	4200	Q4

1. Fit a regression model with a linear trend and additive seasonality. Use the entire series (excluding the last two quarters) as the training set. Provide a screenshot of the model.
2. A partial regression model output is shown in Table 17.9 (where season2 is the Quarter 2 dummy). Use this output to answer the following questions:

Training Validation Future 200 100 Residuals O -100 -200 1991 1993 1995 1997 1999 2001 2003 2005 Time