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LEAST SQUARE METHOD FOR FORECASTING

The data for demand of soft drinks in one month for ario!s distri"ts of

Chhattis#arh is "o$$e"ted from the sa$es de%artment and the estimation for

demand of soft drinks for Rai%!r &'ith %o%!$ation of () $akh* is to +edetermined !sin# Least S,!are Method +- fittin# $inear re#ression.

Usin# the Least S,!are Method the demand for Rai%!r distri"t is "a$"!$ated as

fo$$o's/

X Y XY X2

5 01 2(3 0)7 (3 013 (4

15 5) 46) 00)

22 13 2653 (1(

27 45 0)40 604

36 273 (513 2045

X = 112 Y =439 XY = 10427 X2= 2808

The e,!ations for Least S,!are Method are/

Y = n a + b X

XY = a X + n X2

i.e.

(74 8 5 a 9 220 +

2(306 8 220 a 9 0131 +

So$in# the a+oe e,!ations:

a = 15.076

DISTRICT POPULATION(IN LAK!

D"#AND(NO O$ %OTTL"S IN LAK!

DHAMTARI ) 01

;OR

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& = 3.112

E,!ation for Line of Re#ression/

Y = a + b X

i.e.: @ 8 2).365 9 7.220 &()*

Y = 155.116

or 2)).225 $akhs of +ott$es

The demand of soft drinks for Rai%!r is estimated as 2)).225 $akh +ott$es.