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Online Exam Results
Session:
cc8cf025-1dab-4e24-b591-aee71a3d1425
Answer Script
69
...
No QNo QuestionText
In which of the following stage a new product will start gaining market
...
true|
true
Correct
3
3
Which of the following is/are the drawback of Additive model of seasonal
variation?
It ignores the change
in the value of sales
...
which manufactures Chemical “A”
...
29|
114
InCorrect
Using 20X2 as base year, calculate simple single-item price index for
component “Y” for year 20X3
...
Random Variation|
Random Variation Correct
6
6
______ measures the change in cost of living
...
00|
10
...
ΣX = 1,000
7
7
ΣY = 970
a = 30
b = 0
...
1
...
8
8
2
...
Which of the following statement is true?
Hetal Co
...
Production 1,000 units 2,000 units
Cost $3,000 $6,000
9
9
Assume that fixed cost is increased by $1,000 as the production is
increased by 1,000 units
...
00|
2
...
00|
0
...
(To the nearest two decimal places)
$ ______
MEC Co
...
It has increasing
trend in sales of $2,500 per Quarter and uses multiplicative model for
seasonal variation
...
Quarter 1à 80%
10
10 Quarter 2à 120%
Quarter 3à 90%
Quarter 4à 110%
Calculate forecasted sales of EMC Co
...
elmanX Co
...
Production 1,000 units 2,000 units
Cost $3,000 $4,000
11
11
Assume that variable cost is decreased by $0
...
Calculate the variable cost per unit for the first 1,000 units
...
has the following data
...
5 for every unit as the
production is increased by 1,000 units
...
$ ________
13
Considering a long time period consisted of 5 or more years, forecasting
13 show fluctuations due to boom and decline stages
...
had sales of $180,000 in Quarter 1 of year 20X1
...
Calculate the forecasted sales for
250000|
Quarter 3 of year 20X4
...
which manufactures Product “SIR”
...
00
1kg
$2
...
00
3kg
2
$3
...
20
3kg
$3
...
00
3kg
$4
...
00
2kg
Calculate quantity index (Paasche)
...
had sales of $500,000 in January of year 20X0
...
Seasonal variation is as follows
...
Almond Ltd
...
It has
increasing trend in sales of $10,000 per month and uses additive model for
seasonal variation
...
January-March +$1000
17
17 April-June -$1000
July-September +$2000
October-December -$2000
Calculate Forecasted sales for the month of December of year 20X2
...
Following is the data of SAAI Plc
...
Component 1 Component 2 Component 3
20X1 $1 $0
...
5 $5
19
19 20X4 $4 $2 $6
228
...
5%|
Cannot be
calculated
InCorrect
The quantity used in producing 1 unit of product “B” of component 1, 2 and 3
is 2 kg, 4kg and 8kg respectively
...
(To the nearest two decimal places)
________ %
Ammanda Ltd
...
It has increasing trend of $5,000 per quarter
...
Calculate seasonal variation for quarter 3 assuming
that Ammanda Ltd
...
20
20
21
21 A time series is a series of figures or values recorded over time
...
What is the reason
22 behind this?
Seasonal Variation|
Seasonal
Variation
Correct
23
23 In which of the following stage, a new product will normally be at loss
...
X Y
1 5
2 10
24
24
3 15
+1|
+1
Correct
false|
false
Correct
1000|
1000
Correct
35000|
55000
InCorrect
4 20
5 25
25
Negative correlation means that low values of one variable are associated
25 with high values of the other and high values of one variable with high
values of other
...
has the following data
...
Calculate the fixed cost incurred in producing first 1,000 units
...
has forecasted sales of $500,000 for Quarter 3 of year 20X5
...
Sales in 2nd quarter of year
20X2 were $400,000
...
uses additive model of seasonal variation
...
|It assumes that a data sets
...
|
analysis
...
ΣX = 2,000
29
29 ΣY = 8,000
320|
320
Correct
116
...
8
Following is the data of WX Plc
...
Component X Component Y Component Z
20X1 $5 $6 $7
20X2 $6 $7 $8
30
30
20X3 $7 $8 $9
20X4 $8 $9 $10
Using 20X2 as base year, calculate simple single-item price index for
component “X” for year 20X3
...
|
Spending on
many housing
costs
...
true|
true
Correct
125|
125
Correct
4
...
which manufactures Product “SR”
...
00
1kg
$2
...
00
3kg
2
$3
...
20
3kg
$3
...
00
3kg
$4
...
00
2kg
Calculate price index (Laspeyre)
...
Marketing expense Sales
(000s) (000s)
350 400
35
35 450 600
600 900
700 1,100
Calculate the value of ‘a’ in Y = a + bX for the above data using regression
analysis
...
has the following data
...
5 for every unit as the
production is increased by 1,000 units
...
$ __________
37
When all the pair values lie on a straight line and an exact linear relationship
37 exists between the two variables then those variables a said to be
Perfectly correlated|
38
Which of the following statements is/are advantages of regression
38 analysis? (You can select multiple)
Linear regression
analysis makes
Linear regression
efficient use of
analysis makes
data and good
efficient use of data
results can be
and good results can
obtained with
be obtained with
relatively small
Correct
relatively small data
data sets
...
|Many processes
processes are
are linear so well
linear so well
described by
described by
regression analysis
...
|
39
When all the pair values lie near a straight line but linear relationship does
39 not exactly exists between the two variables then those variables a said to
be
Partly correlated|
Partly correlated Correct
40
A ________ is the underlying long-term movement over time in the values of
40 the data recorded
...
81, what will be the
41 coefficient of determination?
+0
...
656
Correct
MEC Co
...
It has increasing
trend in sales of $2,500 per Quarter and uses multiplicative model for
seasonal variation
...
Quarter 1à 80%
42
42 Quarter 2à 120%
123000|
123000
Correct
Quarter 3à 90%
Quarter 4à 110%
Calculate forecasted sales of EMC Co
...
43
__________ measures the proportion of the total variation in value of one
Coefficient of
43 variable that can be explained by variations in the value of the other variable
...
had sales of $180,000 in Quarter 1 of year 20X1
...
Calculate the forecasted sales for
225000|
Quarter 2 of year 20X3
...
Maturity
Correct
Hetal Co
...
Production 1,000 units 2,000 units
Cost $3,000 $6,000
45
45 Assume that fixed cost is increased by $1,000 as the production is
increased by 1,000 units
...
$ ________
Maturity|
By looking at following data calculate the correlation coefficient
...
35|
142
...
which manufactures Product “SR”
...
00
1kg
$2
...
00
3kg
2
$3
...
20
3kg
$3
...
00
3kg
$4
...
00
2kg
Calculate price index (Paasche)
...
Now
...
tsa
...
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