Advertisement
Advertisement
Advertisement
Sum
Solve the following problem :
Fit a trend line to data in Problem 4 by the method of least squares.
Advertisement
Solution
In the given problem, n = 12 (odd), middle t – value is 1976, h = 1
u = `"t - middle value"/("h"/2) = ("t" - 1976.5)/(1/2)` = 2(t – 1976.5)
We obtain the following table.
Year t |
Production yt |
u = 2(t – 1976.5) | u2 | uyt | Trend Value |
1971 | 1 | –11 | 121 | –11 | 0.0900 |
1972 | 0 | –9 | 81 | 0 | 0.6494 |
1973 | 1 | –7 | 49 | –7 | 1.2088 |
1974 | 2 | –5 | 25 | –10 | 1.7682 |
1975 | 3 | – | 9 | –9 | 2.3276 |
1976 | 2 | –1 | 1 | –2 | 2.8870 |
1977 | 3 | 1 | 1 | 3 | 3.4464 |
1978 | 6 | 3 | 9 | 18 | 4.0058 |
1979 | 5 | 5 | 25 | 25 | 4.5652 |
1980 | 1 | 7 | 49 | 7 | 5.1246 |
1981 | 4 | 9 | 81 | 36 | 5.6840 |
1982 | 10 | 11 | 121 | 110 | 6.243 |
Total | 38 | 0 | 572 | 160 |
From the table, n = 12, `sumy_"t" = 38, sumu = 0, sumu^2 = 572,sumuy_"t" = 160`
The two normal equations are: `sumy_"t" = "na"' + "b"' sumu "and" sumuy_"t", = a'sumu + b'sumu^2`
∴ 38 = 12a' + b'(0) ...(i) and
160 = a'(0) + b'(572) ...(ii)
From (i), a' = `(38)/(12)` = 3.1667
From (ii), b' = `(160)/(572)` = 0.2797
∴ The equation of the trend line is yt = a' + b'u
i.e., yt = 3.1667 + 0.2797 u, where u = 2(t – 1976.5).
Concept: Measurement of Secular Trend
Is there an error in this question or solution?