Level: XXXXXXXXXXModule: Business Analytic Assignment Code: LUBM303 Canvas & Jira/Web services Deadline: Tuesday 4th May 2021 by 2pm Contribution to module assessment: 100% Assignment Module Leader:...

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Answered 15 days AfterMar 08, 2021LUBM303

Answer To: Level: XXXXXXXXXXModule: Business Analytic Assignment Code: LUBM303 Canvas & Jira/Web services...

Pallavi answered on Mar 23 2021
153 Votes
Question 1
a) The mathematical model is given below:
(£2- £0.75)* Z = £60000
b) The profit or loss of MKF Ltd. has been calculated below:
                    (Amount in £)
    Profit for year 2021
    Sales revenue
    180000*2
    360000
    Less: Variable cost
    180000*0.75
    -135000
    Contribution
     
    225000
    Less: Fixed Cost
     
    -60000
    Profit
     
    165000
c) 5- year projection and graph
            Projected profit/ loss for the next 5 years
                                            (Amount in £)
    Particulars
    2021 (Current year)
    20
22
    2023
    2024
    2025
    2026
     
     
     
     
     
     
     
    Output units (5% increase from 2022 onwards)
    180000
    189000
    198450
    208373
    218791
    229731
     
     
     
     
     
     
     
    Sale price p.u. (5% increase from 2022 onwards)
    2
    2.10
    2.21
    2.32
    2.43
    2.55
    VC p.u. (8% increase from 2022 onwards)
    0.75
    0.81
    0.87
    0.94
    1.02
    1.10
     
     
     
     
     
     
     
    Contribution p.u.
    1.25
    1.29
    1.33
    1.37
    1.41
    1.45
     
     
     
     
     
     
     
    Total contribution (Contribution p.u.* output)
    225000
    243810
    263978
    285567
    308637
    333240
    Less: Fixed cost
    60000
    60000
    60000
    60000
    60000
    60000
    Profit
    165000
    183810
    203978
    225567
    248637
    273240
     
     
     
     
     
     
     
Graph showing 5 year projection of expected profit/loss
d) Critical analysis of costing and revenue behavior
    Year
    Output units
    Profit
    Profit p.u
    2021
    180000
    £1,65,000.00
    0.91666667
    2022
    189000
    £1,83,810.00
    0.97253968
    2023
    198450
    £2,03,978.19
    1.02785684
    2024
    208373
    £2,25,567.43
    1.08252013
    2025
    218791
    £2,48,636.78
    1.13641162
    2025
    229731
    £2,73,239.76
    1.18939168
An analysis of the above figures and calculations indicates that the profitability percentage of the company is rising year after year with the increase in the level of output sold by the company. The net profit per unit was 0.91 in year 2021 (i.e. current year) but it increased to £0.97, £1.02, £1.083, £1.136 and £1.19 respectively for the year 2022, 2023, 2024, 2025 and 2026. The reason for this increase in net profit is that as the sales volume of company increases the total contribution earned by the company also increases, but since the level of fixed cost is same for each year, there will be an increase in net profit with an increase in the sale volume of the company.
Question 2
a) The correlation coefficient of advertising/sales has been calculated below:
            
    Year
    Advertising expenditure (x)
(£000s)
    Sales revenue (Y)
(£000s)
    2016
    2
    60
    2017
    5
    90
    2018
    4
    70
    2019
    6
    100
    2020
    3
    80
    
    
    
    
    
    
    Correlation coefficient of advertising and sales
    
    0.9
The correlation coefficient tells about the relationship between two variables or elements. The value of any correlation coefficient falls between -1 and 1. If the value of correlation coefficient is -1, it indicates that there is a perfect negative correlation between the two variables while if the correlation coefficient is 1, it indicates that there is a perfect positive correlation between the two variables. If the correlation coefficient is 0, this indicates that there is no correlation between the two variables.
In the given case, the value of correlation coefficient is 1, which indicates that there is a strong positive correlation between advertising expenditure and sales revenue; however the correlation is strong but not perfect positive correlation. This means that for every positive increase in the value of advertisement, there will be a proportionate positive increase in the value of sales revenue, however since the correlation is not perfect positive, certain increases in the advertising expense might not bring a similar change in the sales revenue. This implies that for proportionate increase in the amount of advertisement expenditure, there will be a nearly proportionate increase in the sales revenue earned by the company but this will not hold true for all the data points. Thus, it can be concluded that since advertising expense and sales revenue are strongly correlated, the company would be able to achieve a corresponding increase in its sales revenue by increasing its advertising expense.
b) Scatter diagram of the data is given below which shows Advertising expense on the X axis and Sales revenue on the Y axis.
Scatter Diagram to show relationship between advertising expense and Sales revenue
As indicated by the by the above scatter diagram, the data points are there in the form of a upward slant from left to right. This shows that there is a strong positive correlation between the two variables i.e. advertising expense and Sales revenue. This means that when the value of advertising expense would increase in a particular proportion, the value of Sales revenue would also increase in a similar proportion. Thus, the pattern of relationship between the two variables as indicated by the scatter diagram points out that...
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