MONTHS
QUANTITYSOLD(Y)I
AVERAGE PRICE(X)IN
N KG_
SHILLINGS
XY
X^2
JANUARY
124
90
11160
8100
FEBRURY
128
89
11392
7921
MARCH
129
87
11223
7569
APRIL
130
86
11180
7396
MAY
131
85
11135
7225
JUNE
133
84
11172
7056
JULY
135
81
10935
6561
AUGUST
136
75
10200
5625
R
140
74
10360
5476
OCTOBER
141
71
10011
5041
822 108768
67970
SEPTEMBE
n=10
1327
∑Y = n a + b ∑x
∑xy = a ∑x + b ∑𝑥 2
1327 = 10a + b822
108678 = 822a + 67970b
10a + 822b = 1327………….. (eqn1)
822a + 67970b = 108768…… (eqn2)
n
∑x
a
∑x
∑x2
b
10
822
∑y
a
= ∑xy
1327
822
67970
b
=
108768
Det = major – minor
=679700-675684
Det= 4016
To get a
1327
822
108768
67970
4016
=90196190-89407296
4016
a= 196.4377
For b
10
1327
822
108768
4016
b = 1087680-1090794
4016
b= -0.775398
a) Y= a - bX
Y= 196.4377 + 0.775398*65
Y= 246.83857kilograms
b) Y= a – bX
180= 196.4377 + 0.775398X
180 – 196.4377 = 0.775398X
-16.4377= 0.775398X
0.775398
0.775398
X= - 21.199048shillings
c) Forecasting demand for products often encounters various risks. Discuss
Forecasting new product introductions
Copying with challenges related to sales volumes
Forecasting promotions and promotional lift
KYAMBOGO UNIVERSITY
FACULTY OF SOCIAL SCIENCES
DEPARTMENT OF ECONOMICS
COURSE: BACHELOR OF ARTS IN ECONOMICS
COURSE UNIT: MANAGERIAL ECONOMICS
NAME
REG No
KITINDA VICTOR
19/U/EKD/14176/PD
SIGNATURE