Year | Period (t) |
Enrollment (1,000s) |
2001 | 1 | 6.5 |
2002 | 2 | 8.1 |
2003 | 3 | 8.4 |
2004 | 4 | 10.2 |
2005 | 5 | 12.5 |
2006 | 6 | 13.3 |
2007 | 7 | 13.7 |
2008 | 8 | 17.2 |
2009 | 9 | 18.1 |
(b) Use simple linear regression analysis to find the parameters for the line that minimizes MSE for this time series. If required, round your answers to two decimal places. y-intercept, b0 = Slope, b1 = MSE = (c) What is the forecast for year 10? Do not round your interim computations and round your final answer to two decimal places.
b) From the given data
S.No. | t | Enrollment | X^2 | Y^2 | XY |
1 | 1 | 6.5 | 1 | 42.25 | 6.5 |
2 | 2 | 8.1 | 4 | 65.61 | 16.2 |
3 | 3 | 8.4 | 9 | 70.56 | 25.2 |
4 | 4 | 10.2 | 16 | 104.04 | 40.8 |
5 | 5 | 12.5 | 25 | 156.25 | 62.5 |
6 | 6 | 13.3 | 36 | 176.89 | 79.8 |
7 | 7 | 13.7 | 49 | 187.69 | 95.9 |
8 | 8 | 17.2 | 64 | 295.84 | 137.6 |
9 | 9 | 18.1 | 81 | 327.61 | 162.9 |
Total: | 45 | 108 | 285 | 1426.74 | 627.4 |
Intercept: 4.72
Slope: 1.46
Y -hat = 19.28
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