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GAQM CLSSBB-001 Exam - Topic 3 Question 31 Discussion

Which statement(s) are correct about the Factorial Plot shown here? (Note: There are 3 correct answers).
B) The coefficient of the metal hardness is positively related to the output of tool age
A) When the cutting speed increased from low to high level, the tool age increases
C) The coded coefficient is lower for cutting speed than the cutting angle related to the output of tool age
D) These plots prove a statistically significance factor with 95% confidence
E) These plots are an example of interaction plots

GAQM CLSSBB-001 Exam - Topic 3 Question 31 Discussion

Actual exam question for GAQM's CLSSBB-001 exam
Question #: 31
Topic #: 3
[All CLSSBB-001 Questions]

Which statement(s) are correct about the Factorial Plot shown here? (Note: There are 3 correct answers).

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Suggested Answer: B

by Devorah at Jul 27, 2023, 08:44 AM

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Chanel
9 months ago
C looks correct, cutting speed does have a lower coded coefficient.
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Rolf
10 months ago
Wait, are these really interaction plots? I thought they were just regular factorials.
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Hobert
10 months ago
B seems spot on, metal hardness really affects tool performance.
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Genevive
10 months ago
I disagree with D, not sure if the confidence level is that high.
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Yolande
10 months ago
A is definitely true, higher speed usually means longer tool life.
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Dacia
10 months ago
I believe option D is likely correct because we often look for statistical significance at the 95% confidence level in these plots.
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Gene
11 months ago
I'm a bit confused about option C. I recall something about coded coefficients, but I can't remember how they relate to cutting speed versus cutting angle.
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Nana
11 months ago
I remember practicing a similar question where we discussed the relationship between metal hardness and tool performance. I feel like option B could be right.
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Lacresha
11 months ago
I think option A might be correct since increasing cutting speed usually leads to better tool age, but I'm not entirely sure.
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Lawrence
11 months ago
Hmm, I'm a bit confused on this. I know we can apply aggregation functions like sum, max, min, etc. on integer columns, but I'm not sure about the other options. I'll have to think this through carefully.
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Reiko
11 months ago
Okay, I think I've got this. The key is to focus on the planning section and how it relates to the audit engagement process. I'll make sure to double-check my work.
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Elfriede
11 months ago
Okay, I've got this. I'd go with option B - adding a `calculateTotal()` method to the JavaScript and then calling that in the template. That way, the logic is encapsulated in the component and the template is just displaying the result.
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Eliz
11 months ago
This seems pretty straightforward. The image clearly shows the storage capacity for each worker node, so I just need to add those up to get the total.
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Kizzy
1 year ago
Looks like the tool age is as unpredictable as a toddler on a sugar high. Better bring a hard hat to the factory floor!
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Tayna
1 year ago
The factorial plot is like a crystal ball for tool age - it sees all, knows all! Except for those pesky factors that weren't included, of course.
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Olen
1 year ago
These plots are a classic example of interaction plots, showing how the factors interact to influence the output.
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Zack
1 year ago
D) These plots prove a statistically significance factor with 95% confidence
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Altha
1 year ago
B) The coefficient of the metal hardness is positively related to the output of tool age
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Cordie
1 year ago
A) When the cutting speed increased from low to high level, the tool age increases
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Ciara
1 year ago
These plots prove statistical significance at the 95% confidence level, which is a common threshold for engineering applications.
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Asuncion
1 year ago
D) These plots prove a statistically significance factor with 95% confidence
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Harrison
1 year ago
B) The coefficient of the metal hardness is positively related to the output of tool age
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Daren
1 year ago
A) When the cutting speed increased from low to high level, the tool age increases
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Lennie
1 year ago
The coded coefficient is indeed lower for cutting speed than the cutting angle, which suggests that the cutting angle has a stronger effect on the tool age.
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Roselle
1 year ago
D) These plots prove a statistically significance factor with 95% confidence
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Augustine
1 year ago
C) The coded coefficient is lower for cutting speed than the cutting angle related to the output of tool age
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Simona
1 year ago
A) When the cutting speed increased from low to high level, the tool age increases
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Launa
1 year ago
The coefficient of the metal hardness is positively related to the tool age output, as indicated by the plot. This makes sense from an engineering perspective.
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Laticia
1 year ago
The factorial plot clearly shows that the cutting speed has a significant impact on the tool age. Increasing the cutting speed from low to high level increases the tool age.
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Gracia
1 year ago
D) These plots prove a statistically significance factor with 95% confidence
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Shenika
1 year ago
B) The coefficient of the metal hardness is positively related to the output of tool age
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Colene
1 year ago
A) When the cutting speed increased from low to high level, the tool age increases
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Yen
1 year ago
I'm not sure about statement E, do you think these plots are actually interaction plots?
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Arlette
1 year ago
I agree with statement D because it mentions statistical significance with 95% confidence.
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Yen
1 year ago
I think statement A is correct because as cutting speed increases, tool age also increases.
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