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CIMA Exam CIMAPRA17-BA1-1 Topic 2 Question 111 Discussion

Actual exam question for CIMA's CIMAPRA17-BA1-1 exam
Question #: 111
Topic #: 2
[All CIMAPRA17-BA1-1 Questions]

A research business compiles the following data for Country D over 8 years:

* Household expenditure, y (in millions of constant 20X6 dollars);

* The number of fixed broadband internet subscribers, x (in thousands).

Based on this information the following regression model is developed:

y = 332668 * 45.8x - 0 003x2

Which of the following statements is correct?

Show Suggested Answer Hide Answer
Suggested Answer: D

Contribute your Thoughts:

Lemuel
1 months ago
That's true, but the model itself shows a non-linear relationship, so I think C is the best answer.
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Earleen
1 months ago
But isn't statement B also correct? A 1 percent increase in subscribers leads to a 0.3 percent increase in expenditure.
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Dwight
1 months ago
Haha, Option A is a classic. Of course the model is based on historical data - what else would it be based on, the future??
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Mabelle
28 days ago
Yeah, it's common sense that a model is based on historical data.
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Leonardo
29 days ago
I agree, Option A is pretty obvious.
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Iola
2 months ago
I agree with Lemuel, the model suggests a non-linear relationship.
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Lemuel
2 months ago
I think the correct statement is C.
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Hildegarde
2 months ago
Option D is definitely not correct. Applying a model developed for one country to 'most countries and regions' is a recipe for disaster. Someone needs to brush up on their econometrics!
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Maurine
30 days ago
C: The model seems to suggest a non-linear relationship between household expenditure and the number of broadband subscribers.
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Elliott
1 months ago
B: I agree, it's important to consider the specific characteristics of each country before applying a model.
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Alecia
1 months ago
A: Option D is definitely not correct. Applying a model developed for one country to 'most countries and regions' is a recipe for disaster.
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Florinda
2 months ago
I'm not so sure about option B. A 1% increase in broadband subscribers leading to a 0.3% increase in household expenditure seems a bit too precise. I'd be cautious about relying on that specific percentage change.
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Keneth
1 months ago
I think it's important to consider other factors that could influence household expenditure as well.
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Denny
1 months ago
Yeah, it's always good to be cautious with these types of predictions.
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Daniel
2 months ago
I agree, it does seem like a very precise estimate.
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Kimberely
2 months ago
I agree with Yoko. The quadratic term in the regression equation suggests a non-linear relationship. This is an important consideration when using the model for forecasting.
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Lashon
1 months ago
A: Definitely. It shows that the relationship between household expenditure and broadband subscribers is not linear.
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Reuben
1 months ago
B: I agree. It's important to consider this when using the model for forecasting.
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Gladis
2 months ago
A: I think option C is correct. The quadratic term in the regression equation suggests a non-linear relationship.
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Yoko
3 months ago
Option C seems to be the correct choice. The model indicates a non-linear relationship between household expenditure and broadband subscribers, which makes sense intuitively.
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Bette
1 months ago
Definitely. It shows that the relationship is more complex than just a simple linear one.
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Ashleigh
2 months ago
Yes, it does. It's interesting to see how broadband subscribers can impact household expenditure in a non-linear way.
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Benedict
2 months ago
I agree, option C does make sense. A non-linear relationship between the two variables seems plausible.
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