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March 1, 2023 at 4:54 pm
This set of exercises is quite awesome
December 13, 2022 at 2:48 am
Sir #5 the highest is $75,000 and 2,500 units, the lowest $69,500 and 1,500 units. Therefore the answer should be
Total cost = $61,250 + 5.50 x quantity
John Moffat says
December 13, 2022 at 8:22 am
No. As I make clear in my lectures, you use the highest and lowest levels of production (not the highest and lowest costs).
November 22, 2022 at 2:53 pm
sir, the formulas will be given in the exam know? but here it doesnt…
November 22, 2022 at 3:00 pm
This is a quick test and is not the exam. The formula sheet is printed in our lecture notes.
November 23, 2022 at 11:16 am
December 8, 2020 at 7:08 pm
In question 3, there is no mention of Coefficient determination but why the explanation includes determination? Please can someone advise?
March 12, 2023 at 10:45 pm
In the options we can see there are 2 answers that are false, that being “There is no correlation” and “sales revenue will increase by 85% more than advertising expenditure”. the first one is false because r = 0.85 which is a good correlation, and the second because .85 is the correlation coefficient and not the coefficient of the variable in y=a+bx.
the answer is therefore about how much of the variation in sales revenue is explained by the variation in advertising expenditure, ie, they are asking you to calculate the coefficient of determination.
that value is r squared, .85 squared is .722 which is also 72%
August 21, 2020 at 1:05 pm
how did you get 11 as n (from question #1)?
January 31, 2022 at 3:51 pm
The information provided before the question says we have 11 pairs of data hence n=11
March 21, 2020 at 9:32 am
Can I just say that this topic was explain really well. Thank you
March 22, 2020 at 8:51 am
Thank you for your comment 🙂
September 13, 2022 at 6:47 pm
Sir I don’t understand why on question 3 was I supposed to be using r² (coefficient of determination)
September 14, 2022 at 8:36 am
Because the correct statement is how the coefficient of determination is defined, as I state in my lectures.
February 14, 2020 at 10:25 am
Good day madam/sir Can you please explain me question #3?
February 14, 2020 at 2:32 pm
The coefficient of variation is the square of the correlation coefficient, and it measures what % of variations in one variable can be explained by variations in the other variable.
I do explain this in my free lectures – did you watch the lectures before attempting the test?
October 9, 2019 at 12:57 pm
January 31, 2022 at 3:52 pm
October 2, 2019 at 12:55 pm
Question #5 for the high low method, the highest level is 75000 not 74000. If 74000 is being used, can you kindly explain why.
October 2, 2019 at 2:24 pm
We use the highest and lowest of the independent variable which here is the production units. I do explain this in my free lecture.
October 2, 2019 at 12:45 pm
Good Day Sir,
can you kindly elaborate a little more on question #2.
October 2, 2019 at 2:26 pm
But what do you want me to elaborate? As the answer says, the coefficient must lie between +1 and -1 (which 1.4 does not).
Again, I explain this in my free lectures – did you not watch the lectures before attempting the test?
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