Use the high closing values of Naristar Inc stock from the y
Use the high closing values of Naristar Inc. stock from the years 1992 - 2003 to construct a time-series graph. (Let x = 0 represent 1992 and so on.) Identify a trend.
 Year 1992 High 48
 Year 1993 High 53
 Year 1994 High 47
 Year 1995 High 55
 Year 1996 High 58
 Year 1997 High 61
 Year 1998 High 62
 Year 1999 High 60
 Year 2000 High 68
 Year 2001 High 42
 Year 2002 High 51
 Year 2003 High 78
Solution
We have to construct a time series graph and identify the trend.
By using MINITAB we get a following output.
The command is for finding trend in MINITAB is,
STAT->TIME SERIES ->TREND ANALYSIS ->variable x-> MODEL TYPE linear ->STORAGE Fits (trend line) and residuals (detrended data ) ->RESULT summary table and result table ->ok
The data and result is
14.3718
And the output is,
Trend Analysis for x
Data x
 Length 12
 NMissing 0
 Fitted Trend Equation
Yt = 48.9848 + 1.22028*t
 Accuracy Measures
MAPE 11.8293
 MAD 6.4077
 MSD 71.8315
 Time x Trend Detrend
 1 48 50.2051 -2.2051
 2 53 51.4254 1.5746
 3 47 52.6457 -5.6457
 4 55 53.8660 1.1340
 5 58 55.0862 2.9138
 6 61 56.3065 4.6935
 7 62 57.5268 4.4732
 8 60 58.7471 1.2529
 9 68 59.9674 8.0326
 10 42 61.1876 -19.1876
 11 51 62.4079 -11.4079
 12 78 63.6282 14.3718
 Trend Analysis Plot for x
| year | x | FITS1 | RESI1 | 
| 1992 | 48 | 50.2051 | -2.2051 | 
| 1993 | 53 | 51.4254 | 1.5746 | 
| 1994 | 47 | 52.6457 | -5.6457 | 
| 1995 | 55 | 53.866 | 1.134 | 
| 1996 | 58 | 55.0862 | 2.9138 | 
| 1997 | 61 | 56.3065 | 4.6935 | 
| 1998 | 62 | 57.5268 | 4.4732 | 
| 1999 | 60 | 58.7471 | 1.2529 | 
| 2000 | 68 | 59.9674 | 8.0326 | 
| 2001 | 42 | 61.1876 | -19.1876 | 
| 2002 | 51 | 62.4079 | -11.4079 | 
| 2003 | 78 | 63.6282 | 14.3718 | 


