11-18-2018, 06:50 AM
Example of Least square method of population projection
Given Data
Year population (in million)
1997 51.99
1998 52.49
1999 55.12
2000 54.07
2001 57.56
ΣY = Na + b. Σ X
ΣXY = a. Σ X + b. ΣX2
where:
ΣX = the sum of all observations of X
ΣY = the corresponding sum of all the Y observations
ΣXY = the sum of all the products of X and Y
ΣX2 = the sum of all the squares of X
N = total number of observations
Population Projections Based on Method of Least Squares
Year population S. No. of Square of
(in million) Col. 1 ‘X’
(Y) (X) X.Y
1997 51.99 1 1 51.99
1998 52.46 2 4 104.92
1999 55.12 3 9 165.36
2000 54.07 4 16 216.23
2001 57.56 5 25 287.80
Total (ΣY) 271.20 (ΣX) 15 (ΣX2) 55 ΣXY) 826.35
By using the following two equations, the value of Y = a + b . X can be calculated:
ΣY = Na + bΣ X = 271.20 = 5a + 15b ……………………………1
ΣXY = a Σ X + b ΣX2 = 826.33 = 15a + 55b ……………………………….2
Multiply equation (1) by 3 and subtract it from Equation (2) to get the value of ‘b’. By putting the value of ‘b’ in Equation (2), the value of ‘a’ can also be worked out:
Thus, by interpolation we get the following equation:
Y = 50.43 + 1.27 X (with 1997 as X=1)
In the above example, by putting the values of ‘X’ we can get values for various years to draw the best-fitting lines and then project it in the future. Accordingly, the population projections for 2002 can be worked out as under:
population in 2002 (Y) = 50.43 + 1.27 x 6 = 58.05, X = 6 in year 2002-03
Given Data
Year population (in million)
1997 51.99
1998 52.49
1999 55.12
2000 54.07
2001 57.56
ΣY = Na + b. Σ X
ΣXY = a. Σ X + b. ΣX2
where:
ΣX = the sum of all observations of X
ΣY = the corresponding sum of all the Y observations
ΣXY = the sum of all the products of X and Y
ΣX2 = the sum of all the squares of X
N = total number of observations
Population Projections Based on Method of Least Squares
Year population S. No. of Square of
(in million) Col. 1 ‘X’
(Y) (X) X.Y
1997 51.99 1 1 51.99
1998 52.46 2 4 104.92
1999 55.12 3 9 165.36
2000 54.07 4 16 216.23
2001 57.56 5 25 287.80
Total (ΣY) 271.20 (ΣX) 15 (ΣX2) 55 ΣXY) 826.35
By using the following two equations, the value of Y = a + b . X can be calculated:
ΣY = Na + bΣ X = 271.20 = 5a + 15b ……………………………1
ΣXY = a Σ X + b ΣX2 = 826.33 = 15a + 55b ……………………………….2
Multiply equation (1) by 3 and subtract it from Equation (2) to get the value of ‘b’. By putting the value of ‘b’ in Equation (2), the value of ‘a’ can also be worked out:
Thus, by interpolation we get the following equation:
Y = 50.43 + 1.27 X (with 1997 as X=1)
In the above example, by putting the values of ‘X’ we can get values for various years to draw the best-fitting lines and then project it in the future. Accordingly, the population projections for 2002 can be worked out as under:
population in 2002 (Y) = 50.43 + 1.27 x 6 = 58.05, X = 6 in year 2002-03