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The following table gives the production of steel (in millions of tons) for years 1976 to 1986. Year 1976 1977 1978 1979 1980 1981 1982 1983 1984 1985 1986 - Mathematics and Statistics

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प्रश्न

The following table gives the production of steel (in millions of tons) for years 1976 to 1986.

Year 1976 1977 1978 1979 1980 1981 1982 1983 1984 1985 1986
Production 0 4 4 2 6 8 5 9 4 10 10

Obtain the trend value for the year 1990

सारिणी
योग
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उत्तर

In the given problem, n = 11 (odd), middle t- values is 1981, h = 1

u = `("t" - "middle t value")/"h"`

= `("t" - 1981)/1`

= t – 1981

We obtain the following table:

Year 

t

Production

yt

u = t − 1981 u2 uyt Trend Value
1976 0 − 5 25 0 1.6819
1977 4 − 4 16 − 16 2.4728
1978 4 − 3 9 − 12 3.2637
1979 2 − 2 4 − 4 4.0546
1980 6 − 1 1 − 6 4.8455
1981 8 0 0 0 5.6364
1982 5 1 1 5 6.4273
1983 9 2 4 18 7.2182
1984 4 3 9 12 8.0091
1985 10 4 16 40 8.8
1986 10 5 25 50 9.5909
Total 62 0 110 87 87

From the table, n = 11, ∑yt = 62, ∑u = 0, ∑u2 = 110, ∑uyt = 87

The two normal equations are:

∑yt = na' + b'∑u and ∑uyt = a'∑u + b'∑u2

∴ 62 = 11a' + b'(0)   .....(i)

and

87 = a'(0) + b'(110)  .....(ii)

From (i), a′ = `62/11` = 5.6364

From (ii), b′ = `87/110` = 0.7909

∴ The equation of the trend line is yt = a′ + b′u

i.e., yt = 5.6364+ 0.7909 u,

where u = t – 1981

Now, for t = 1990,

u = 1990 – 1981

= 9

∴ yt = 5.6364 + 0.7909 × 9

= 12.7545

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Measurement of Secular Trend
  क्या इस प्रश्न या उत्तर में कोई त्रुटि है?
अध्याय 2.4: Time Series - Q.4

संबंधित प्रश्न

Fit a trend line to the data in Problem 4 above by the method of least squares. Also, obtain the trend value for the index of industrial production for the year 1987.


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Index 0 2 3 3 2 4 5 6 7 10

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Year 1974 1975 1976 1977 1978 1979 1980 1981 1982
Production 0 4 9 9 8 5 4 8 10

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Year 1977 1978 1979 1980 1981 1982 1983 1984
Number of boxes (in ten thousands) 1 0 3 8 10 4 5 8

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Solve the following problem :

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Year 1975 1976 1977 1978 1979 1980 1981 1982 1983
No. of deaths 0 6 3 8 2 9 4 5 10

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Year 1980 1985 1990 1995 2000 2005 2010
IMR 10 7 5 4 3 1 0

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Year 1959 1960 1961 1962 1963 1964 1965 1966 1967 1968
Yield 0 1 2 3 1 0 4 1 2 10

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The simplest method of measuring trend of time series is ______


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Least squares method of finding trend is very simple and does not involve any calculations


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Year 1971 1972 1973 1974 1975 1976
Production 1 0 1 2 3 2
Year 1977 1978 1979 1980 1981 1982
Production 4 6 5 1 4 10

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Year 1980 1985 1990 1995
IMR 10 7 5 4
Year 2000 2005 2010  
IMR 3 1 0  

Fit a trend line by the method of least squares

Solution: Let us fit equation of trend line for above data.

Let the equation of trend line be y = a + bx   .....(i)

Here n = 7(odd), middle year is `square` and h = 5

Year IMR (y) x x2 x.y
1980 10 – 3 9 – 30
1985 7 – 2 4 – 14
1990 5 – 1 1 – 5
1995 4 0 0 0
2000 3 1 1 3
2005 1 2 4 2
2010 0 3 9 0
Total 30 0 28 – 44

The normal equations are

Σy = na + bΣx

As, Σx = 0, a = `square`

Also, Σxy = aΣx + bΣx2

As, Σx = 0, b =`square`

∴ The equation of trend line is y = `square`


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Solution:

Year IMR 3 yearly
moving total
3-yearly moving
average

(trend value)
1980 10
1985 7 `square` 7.33
1990 5 16 `square`
1995 4 12 4
2000 3 8 `square`
2005 1 `square` 1.33
2010 0

Obtain the trend values for the following data using 5 yearly moving averages:

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Production
xi
10 15 20 25 30
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Production
xi
35 40 45 50 55

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The publisher of a magazine wants to determine the rate of increase in the number of subscribers. The following table shows the subscription information for eight consecutive years:

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IMR 10 7 5 4 3 1 0

Complete the following activity to fit a trend line to the following data by the method of least squares.

Year 1975 1976 1977 1978 1979 1980 1981 1982 1983
Number of deaths 0 6 3 8 2 9 4 5 10

Solution:

Here n = 9. We transform year t to u by taking u = t - 1979. We construct the following table for calculation :

Year t Number of deaths xt u = t - 1979 u2 uxt
1975 0 - 4 16 0
1976 6 - 3 9 - 18
1977 3 - 2 4 - 6
1978 8 - 1 1 - 8
1979 2 0 0 0
1980 9 1 1 9
1981 4 2 4 8
1982 5 3 9 15
1983 10 4 16 40
  `sumx_t` =47 `sumu`=0 `sumu^2=60` `square`

The equation of trend line is xt= a' + b'u.

The normal equations are,

`sumx_t = na^' + b^' sumu`              ...(1)

`sumux_t = a^'sumu + b^'sumu^2`      ...(2)

Here, n = 9, `sumx_t = 47, sumu= 0, sumu^2 = 60`

By putting these values in normal equations, we get

47 = 9a' + b' (0)       ...(3)

40 = a'(0) + b'(60)      ...(4)

From equation (3), we get a' = `square`

From equation (4), we get b' = `square`

∴ the equation of trend line is xt = `square`


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