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June 25, 2018 at 3:01 pm
How come on question 3 the answer is 0.85 squared which is 72%, l thought r squared is the formula for correlation of determination?
John Moffat says
June 25, 2018 at 5:19 pm
Yes it is – 0.85 squared is equal to 0.72 (or 72%).
And, as I explain in my free lectures, the coefficient of determination is a measure of how much of the variation in the dependent variable is ‘explained’ by the variation of the independent variable.
Did you watch my lectures before attempting the test? The lectures are a complete free course for Paper F2 (now Paper MA) and cover everything needed t one able to pass the exam well.
June 25, 2018 at 9:23 pm
yes Sir l did watch all your lectures, its just that l am a bit confused because the question asked for the correlation coefficient not the correlation of determination.
June 26, 2018 at 8:36 am
No – the question did not ask for the coefficient of correlation. The question gave the coefficient of correlation but asked which of the statements was true. The only true statement was the description of the coefficient of determination (which is r^2)
June 26, 2018 at 9:02 pm
Oh, ok, now l understand. Thank you sir.
June 27, 2018 at 7:16 am
You are welcome 🙂
January 25, 2018 at 10:39 am
Waawo I got it all
January 25, 2018 at 5:03 pm
September 25, 2017 at 8:57 pm
For question 5 in this chapter 19 questions, we used the high-low method. on the question, the highest total cost is $75,000 (month 4). but the answer was calculated with $74,000 (month 1) as the highest total cost. Could you please help me look into it?
September 26, 2017 at 6:49 am
Have you watched the free lecture on this?
You do not use the highest and lowest cost – you use the highest and lowest levels of production.
September 28, 2017 at 3:53 pm
Dear Mr. Moffat,
Thank you so much for your reply. I did watch the lecture but I misunderstood the calculation. It mixed me up when the highest level of production did not correspond to the highest cost. I thought we take the highest and lowest level of production and the highest and lowest cost. But I understood it now. 🙂
Best regards, Rigine
September 29, 2017 at 6:47 am
May 3, 2017 at 2:26 pm
Hi sir, for question no. 5. By using the high low method, i thought the unit for highest cost is beside it. But, it turn out to be not and the highest unit is 3000 unit. do u get me ?
May 3, 2017 at 5:34 pm
If you watch the free lectures (and you should watch the lectures before you attempt the tests) you will see that we take the highest and lowest independent variable, which in this case is the level of production. The cost depends on the level of production, and so the cost is the dependent variable and the level of production is the independent variable.
December 16, 2016 at 3:21 pm
Sir, For qn no. 22. Can you explain how to get Npv at 12% &20%?
December 16, 2016 at 4:31 pm
I have no idea which question you are asking about since you have posted this under a practice test for chapter 19 of our free lecture notes and lectures!!
December 16, 2016 at 7:25 am
Hello sir ,
Can you please help me with Question no 5 ? Why the answer includes minus 7.6 ?
December 16, 2016 at 7:52 am
You will know from the free lectures that the total of all four of seasonal variations should be 0.
The three that are given add up to plus 7.6, so to make all four add up to zero, the missing one must be minus 7.6.
October 28, 2016 at 10:19 am
hi sir…..in budgeting when they say compare actual against planned at the of the budgeting period which actual results will they be comparing with since they would have not yet started doing anything yet
October 28, 2016 at 12:14 pm
Why are you asking this under a test on index numbers? You should ask in the Ask the Tutor Forum (although if you have watched my free lectures, your question is answered and explained in the lectures – it is variance analysis. We do not compare actual results with the original budgets, but with the flexed budgets. And the comparison is made at the end of the period to identify what went wrong during the period in order that they can try and correct any problems for the future.)
March 3, 2016 at 5:03 am
I’m having problem with this question. Chapter 19, ques. # 4.
Kindly explain pls & need ur help with calculation of the correct answer.
March 3, 2016 at 7:39 am
When using the additive model, the seasonal variations should add up to zero.
I think maybe you have not watched the free lecture on time series analysis – you should not be attempting the tests until you have watched the lecture 🙂
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