GAQM Exam CLSSBB-001 Topic 8 Question 55 Discussion

Actual exam question for GAQM's CLSSBB-001 exam

Question #: 55
Topic #: 8

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

AThe Correlation Coefficient is always greater than the Regression Coefficient in a SLR

BGeneral Regression Analysis deals only with Continuous Data

CNon-linear Regressions can explain curvature when with more statistical confidence than Linear Regressions

DSLR can help quantify the significance of variation in X that influences the variation in Y via a mathematical equation

EA Correlation does not explain causation but a Regression Analysis with a statistically valid mathematical equation does explain causation

Show Suggested Answer

Suggested Answer: B

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

Limited Time Offer

25%

Off

Get Premium CLSSBB-001 Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

Submit Cancel

Leandro

1 months ago

A? What is this, amateur hour? I think my dog could answer this question better than that.

upvoted 0 times

Chantell

17 days ago

D) SLR can help quantify the significance of variation in X that influences the variation in Y via a mathematical equation

upvoted 0 times

...

Emmett

1 months ago

Ah, E. The old 'correlation doesn't equal causation' trick. But you're right, regression analysis can help explain that relationship.

upvoted 0 times

...

Belen

2 months 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!

upvoted 0 times

Paris

5 days ago

E) A Correlation does not explain causation but a Regression Analysis with a statistically valid mathematical equation does explain causation

upvoted 0 times

...

Andree

7 days ago

D) SLR can help quantify the significance of variation in X that influences the variation in Y via a mathematical equation

upvoted 0 times

...

Ashleigh

1 months ago

A) The Correlation Coefficient is always greater than the Regression Coefficient in a SLR

upvoted 0 times

...

Paris

2 months ago

B is correct. General regression analysis does deal with continuous data. That's kind of the whole point of regression analysis.

upvoted 0 times

Ettie

17 days ago

E) A Correlation does not explain causation but a Regression Analysis with a statistically valid mathematical equation does explain causation

upvoted 0 times

...

Myrtie

20 days ago

D) SLR can help quantify the significance of variation in X that influences the variation in Y via a mathematical equation

upvoted 0 times

...

Leota

1 months ago

B) General Regression Analysis deals only with Continuous Data

upvoted 0 times

...

Cherry

2 months 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!

upvoted 0 times

Gail

30 days ago

D) SLR can help quantify the significance of variation in X that influences the variation in Y via a mathematical equation

upvoted 0 times

...

Gail

1 months ago

A) The Correlation Coefficient is always greater than the Regression Coefficient in a SLR

upvoted 0 times

...

Alfreda

2 months ago

I believe E is also applicable, as Regression Analysis can explain causation.

upvoted 0 times

...

Jeanice

3 months ago

I agree with you, Micaela. D is about quantifying the significance of variation in X.

upvoted 0 times

...

Micaela

3 months ago

I think D is definitely one of the characteristics of SLR.

upvoted 0 times

...