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GAQM CLSSBB-001 Exam - Topic 8 Question 55 Discussion

Choose those characteristics of a Simple Linear Regression (SLR) Analysis that are applicable. (Note: There are 3 correct answers).
B) General Regression Analysis deals only with Continuous Data
A) The Correlation Coefficient is always greater than the Regression Coefficient in a SLR
C) Non-linear Regressions can explain curvature when with more statistical confidence than Linear Regressions
D) SLR can help quantify the significance of variation in X that influences the variation in Y via a mathematical equation
E) A Correlation does not explain causation but a Regression Analysis with a statistically valid mathematical equation does explain causation

GAQM CLSSBB-001 Exam - Topic 8 Question 55 Discussion

Actual exam question for GAQM's CLSSBB-001 exam
Question #: 55
Topic #: 8
[All CLSSBB-001 Questions]

Choose those characteristics of a Simple Linear Regression (SLR) Analysis that are applicable. (Note: There are 3 correct answers).

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Suggested Answer: B

by Micaela at Sep 10, 2024, 02:18 PM

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Julianna
9 months ago
A is definitely not true, correlation can be less than regression!
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Mirta
9 months ago
B is misleading, regression can handle categorical too!
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Cherelle
10 months ago
Wait, E says regression explains causation? Really?
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Flo
10 months ago
Totally agree, D is spot on!
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Kayleigh
10 months ago
SLR helps quantify how X affects Y!
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Rochell
10 months ago
I have a vague recollection that the correlation coefficient isn't always greater than the regression coefficient, so A seems off to me.
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Tyisha
10 months ago
I practiced a question similar to this, and I think B is misleading because regression can handle categorical data too, right?
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Jeannetta
11 months ago
I'm not entirely sure, but I feel like E is also correct since regression can imply causation more than correlation does.
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Lavonda
11 months ago
I remember that SLR helps in understanding how changes in X affect Y, so I think D might be one of the correct answers.
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Ryann
11 months ago
Hmm, the wording on some of these options is tricky. I'll need to carefully read through each choice to make sure I select the right ones.
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Lili
11 months ago
I'm pretty confident on this one. The key is understanding that regression can establish a predictive equation, while correlation just measures the strength of the relationship.
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Marsha
11 months ago
Okay, let me think through this. I know regression can quantify the relationship, but I'm not sure about the specifics on correlation versus regression coefficients.
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Tiara
11 months ago
This question seems straightforward, but I want to double-check the key differences between correlation and regression before answering.
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Lavina
11 months ago
Got it, the correct answers are D, B, and C. Regression can explain the influence of the X variable on Y, while correlation and non-linear regression provide additional insights.
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Dana
11 months ago
I think I know the answer to this one. The key is understanding the differences between a simple trust and other types of trusts.
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Camellia
11 months ago
I've got a good feeling about this one. The fact that the customer is sharing their positive experience in blogs and social media points to the Advocate stage, in my opinion. I'm going to go with that.
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Leandro
1 year ago
A? What is this, amateur hour? I think my dog could answer this question better than that.
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Jaclyn
1 year ago
A) The Correlation Coefficient is always greater than the Regression Coefficient in a SLR
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Kara
1 year ago
E) A Correlation does not explain causation but a Regression Analysis with a statistically valid mathematical equation does explain causation
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Chantell
1 year ago
D) SLR can help quantify the significance of variation in X that influences the variation in Y via a mathematical equation
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Emmett
1 year ago
Ah, E. The old 'correlation doesn't equal causation' trick. But you're right, regression analysis can help explain that relationship.
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Belen
1 year ago
D is definitely one of the correct answers. SLR can help quantify the significance of variation in X and how it influences Y. Duh!
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Paris
1 year ago
E) A Correlation does not explain causation but a Regression Analysis with a statistically valid mathematical equation does explain causation
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Andree
1 year ago
D) SLR can help quantify the significance of variation in X that influences the variation in Y via a mathematical equation
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Ashleigh
1 year ago
A) The Correlation Coefficient is always greater than the Regression Coefficient in a SLR
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Paris
1 year ago
B is correct. General regression analysis does deal with continuous data. That's kind of the whole point of regression analysis.
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Ettie
1 year ago
E) A Correlation does not explain causation but a Regression Analysis with a statistically valid mathematical equation does explain causation
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Myrtie
1 year ago
D) SLR can help quantify the significance of variation in X that influences the variation in Y via a mathematical equation
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Leota
1 year ago
B) General Regression Analysis deals only with Continuous Data
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Cherry
1 year ago
A? Really? That's just nonsense. The correlation coefficient is not always greater than the regression coefficient in SLR. C'mon, this is basic stuff!
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Gail
1 year ago
D) SLR can help quantify the significance of variation in X that influences the variation in Y via a mathematical equation
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Gail
1 year ago
A) The Correlation Coefficient is always greater than the Regression Coefficient in a SLR
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Alfreda
1 year ago
I believe E is also applicable, as Regression Analysis can explain causation.
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Jeanice
1 year ago
I agree with you, Micaela. D is about quantifying the significance of variation in X.
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Micaela
1 year ago
I think D is definitely one of the characteristics of SLR.
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