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Pls who can help me out in this explaning the generation of 23 in the solution of this question.
Question
Regression analysis was used to find the equation Y = 300-4.7X, where X is time (in quarters) and Y is sales level in thousand of units. Given that X =0 represents 20×0 quarter 1 what are the forecast sales levels for 20×5 quarter 4?Solution
X =0 corresponds to 20×0 quater 1
therefore X=23 corresponds to 20×5 quarter 4
forecast sales = 300 -(4.7×23)
= 191.9 = 191,900 units.How did 23 come about.
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Are you sure that there is no information missing from the question?
hey mwamburi i ve been able to get solution to the question i asked. this is the reason for the 23.
in the question there is 4quarters x 6years (20×0 – 20×5) = 24
less 1 quarter (20×0) = 23.Do you understand it?
now i have another question.
Joint process
Two prdts P & Q are created from a joint process. P can be sold immediately after split-off, Q requires further processing into product X before it is in a saleable condition. there are no opening inventories and no working in progress of product P, Q or X. The following data are avaiable for last period.
$
Total joint production costs 350,000
further processing cost of product Q 66,000product production closing
units inventory units
P 420,000 20,000
X 330,000 30,000Using the physical unit method for apportioning joint production costs, what was the cost value of the closing inventory of product X for last period?
hi mulo
i got d question from this web page – open tuition. did u download d lecture note/question and answer in open tuition site?
no.. im assuming that 420000 and 330000 are production units
Total production units: P 420000
x 330000
Total units = 750000
joint cost apportioned to Q that is x = 330000/750000 x 350000 = 154000
Total product of x = 66000+154000 = 220000
closing stock of x = production – sales 330000-30000=300000
300000/330000×220000 = 200000
i hope this is how it should be.
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