English

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

Advertisements
Advertisements

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
Advertisements

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

shaalaa.com
Measurement of Secular Trend
  Is there an error in this question or solution?
Chapter 2.4: Time Series - Q.4

RELATED QUESTIONS

Obtain the trend line for the above data using 5 yearly moving averages.


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.


The following table shows the production of gasoline in U.S.A. for the years 1962 to 1976.

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

i. Obtain trend values for the above data using 5-yearly moving averages.
ii. Plot the original time series and trend values obtained above on the same graph.


Choose the correct alternative :

We can use regression line for past data to forecast future data. We then use the line which_______.


Choose the correct alternative :

Which of the following is a major problem for forecasting, especially when using the method of least squares?


Choose the correct alternative :

What is a disadvantage of the graphical method of determining a trend line?


The simplest method of measuring trend of time series is ______.


State whether the following is True or False :

Graphical method of finding trend is very complicated and involves several calculations.


State whether the following is True or False :

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


Solve the following problem :

The following table shows the production of pig-iron and ferro- alloys (‘000 metric tonnes)

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

Fit a trend line to the above data by graphical method.


Solve the following problem :

Following table shows the amount of sugar production (in lac tonnes) for the years 1971 to 1982.

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

Fit a trend line to the above data by graphical method.


Solve the following problem :

Fit a trend line to data in Problem 4 by the method of least squares.


Solve the following problem :

The percentage of girls’ enrollment in total enrollment for years 1960-2005 is shown in the following table.

Year 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005
Percentage 0 3 3 4 4 5 6 8 8 10

Fit a trend line to the above data by graphical method.


Solve the following problem :

Obtain trend values for the data in Problem 7 using 4-yearly moving averages.


Solve the following problem :

Fit a trend line to data by the method of least squares.

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

Solve the following problem :

Obtain trend values for data in Problem 13 using 4-yearly moving averages.


Obtain trend values for data in Problem 19 using 3-yearly moving averages.


Choose the correct alternative:

Moving averages are useful in identifying ______.


The simplest method of measuring trend of time series is ______


The method of measuring trend of time series using only averages is ______


Following table shows the amount of sugar production (in lac tons) for the years 1971 to 1982

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

Fit a trend line by the method of least squares


Obtain the trend values for the data, using 3-yearly moving averages

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

Fit equation of trend line for the data given below.

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`


Complete the table using 4 yearly moving average method.

Year Production 4 yearly
moving
total
4 yearly
centered
total
4 yearly centered
moving average
(trend values)
2006 19  
    `square`    
2007 20   `square`
    72    
2008 17   142 17.75
    70    
2009 16   `square` 17
    `square`    
2010 17   133 `square`
    67    
2011 16   `square` `square`
    `square`    
2012 18   140 17.5
    72    
2013 17   147 18.375
    75    
2014 21  
       
2015 19  

The complicated but efficient method of measuring trend of time series is ______.


Share
Notifications

Englishहिंदीमराठी


      Forgot password?
Use app×