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Use the method of least squares to fit a trend line to the data in Problem 6 below. Also, obtain the trend value for the year 1975 - Mathematics and Statistics

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Question

Use the method of least squares to fit a trend line to the data given below. Also, obtain the trend value for the year 1975.

Year 1962 1963 1964 1965 1966 1967 1968 1969
Production
(million barrels)
0 0 1 1 2 3 4 5
Year 1970 1971 1972 1973 1974 1975 1976  
Production
(million barrels)
6 8 9 9 8 7 10  
Chart
Sum
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Solution

In the given problem, n = 15 (odd), middle t – values is 1969, h = 1

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

= `("t" - 1969)/1`

= t – 1969

We obtain the following table:

Year 
t

Production
yt
u = t − 1969 u2 uyt Trend Value
1962 0 −  49 0 − 0.6
1963 0 − 6 36 0 0.2
1964 1  − 5 25 − 5 1
1965 1 − 4 16 − 4 1.8
1966 2 − 3 9 − 6 2.6
1967 3 − 2 4 − 6 3.4
1968 4 − 1 1 − 4 4.2
1969 5 0 0 0 5
1970 6 1 1 6 5.8
1971 8 2 4 16 6.6
1972 9 3 9 27 7.4
1973 9 4 16 36 8.
1974 8 5 25 40 9
1975 9 6 36 54 9.8
1976 10 7 49 70 10.6
Total 75 0 280 224  

From the table, n = 15, ∑yt = 75, ∑u = 0, ∑u2 = 280, ∑uyt = 224

The two normal equations are:

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

∴ 75 = 15a' + b'(0)   ......(i)

and

224 = a′(0) + b′(280)  .....(ii)

From (i), a′ = `75/15` = 5

From (ii), b′= `224/280` = 0.8

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

i.e., yt = 5 + 0.8 u, where u = t – 1969

Now, for t = 1975, u = 1975 – 1969 = 6

∴  yt = 5 + 0.8 × 6 = 9.8

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Measurement of Secular Trend
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Chapter 2.4: Time Series - Q.4

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Year 1971 1972 1973 1974 1975 1976
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Production 1 0 1 2 3 2
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Production 4 6 5 1 4 10

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Production 0 4 4 2 6 8 5 9 4 10 10

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Year 1962 1963 1964 1965 1966 1967 1968 1969
Production
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0 0 1 1 2 3 4 5
Year 1970 1971 1972 1973 1974 1975 1976  
Production
(million barrels)
6 7 8 9 8 9 10  
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Year Production (y) x x2 xy
2006 19 – 9 81 – 171
2007 20 – 7 49 – 140
2008 14 – 5 25 – 70
2009 16 – 3 9 – 48
2010 17 – 1 1 – 17
2011 16 1 1 16
2012 18 3 9 54
2013 17 5 25 85
2014 21 7 49 147
2015 19 9 81 171
Total 177 0 330 27

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

Here n = `square` (even), two middle years are `square` and 2011, and h = `square`

The normal equations are Σy = na + bΣx

As Σx = 0, a = `square`

Also, Σxy = aΣx + bΣx2

As Σx = 0, b = `square`

Substitute values of a and b in equation (i) the equation of trend line is `square`

To find trend value for the year 2016, put x = `square` in the above equation.

y = `square`


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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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IMR 10 7 5 4 3 1 0

Following table gives the number of road accidents (in thousands) due to overspeeding in Maharashtra for 9 years. Complete the following activity to find the trend by the method of least squares.

Year 2008 2009 2010 2011 2012 2013 2014 2015 2016
Number of accidents 39 18 21 28 27 27 23 25 22

Solution:

We take origin to 18, we get, the number of accidents as follows:

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2008 21 1 -4 16 -84
2009 0 2 -3 9 0
2010 3 3 -2 4 -6
2011 10 4 -1 1 -10
2012 9 5 0 0 0
2013 9 6 1 1 9
2014 5 7 2 4 10
2015 7 8 3 9 21
2016 4 9 4 16 16
  `sumx_t=68` - `sumu=0` `sumu^2=60` `square`

The equation of trend 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=68,sumu=0,sumu^2=60,sumux_t=-44`

Putting these values in normal equations, we get

68 = 9a' + b'(0)     ...(3)

∴ a' = `square`

-44 = a'(0) + b'(60)          ...(4)

∴ b' = `square`

The equation of trend line is given by

xt = `square`


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