MENU
Choose those characteristics of a Simple Linear Regression (SLR) Analysis that are applicable. (Note: There are 3 correct answers).
Suggested Answer: B
Get Premium CLSSBB-001 Questions
as Interactive Web-Based Practice Test or PDF
Real Exam Format
Detailed Explanations
Instant Access
Get Your Practice Test
35 comments · newest first
JU
Julianna
11 months ago
A is definitely not true, correlation can be less than regression!
MI
Mirta
11 months ago
B is misleading, regression can handle categorical too!
CH
Cherelle
11 months ago
Wait, E says regression explains causation? Really?
FL
Flo
12 months ago
Totally agree, D is spot on!
KA
Kayleigh
12 months ago
SLR helps quantify how X affects Y!
RO
Rochell
12 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.
TY
Tyisha
1 year ago
I practiced a question similar to this, and I think B is misleading because regression can handle categorical data too, right?
JE
Jeannetta
1 year ago
I'm not entirely sure, but I feel like E is also correct since regression can imply causation more than correlation does.
LA
Lavonda
1 year 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.
RY
Ryann
1 year 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.
LI
Lili
1 year 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.
MA
Marsha
1 year 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.
TI
Tiara
1 year ago
This question seems straightforward, but I want to double-check the key differences between correlation and regression before answering.
LA
Lavina
1 year 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.
DA
Dana
1 year 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.
CA
Camellia
1 year 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.
LE
Leandro
1 year ago
A? What is this, amateur hour? I think my dog could answer this question better than that.
JA
Jaclyn
1 year ago
A) The Correlation Coefficient is always greater than the Regression Coefficient in a SLR
KA
Kara
1 year ago
E) A Correlation does not explain causation but a Regression Analysis with a statistically valid mathematical equation does explain causation
CH
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
EM
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.
BE
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!
PA
Paris
1 year ago
E) A Correlation does not explain causation but a Regression Analysis with a statistically valid mathematical equation does explain causation
AN
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
AS
Ashleigh
1 year ago
A) The Correlation Coefficient is always greater than the Regression Coefficient in a SLR
PA
Paris
2 years ago
B is correct. General regression analysis does deal with continuous data. That's kind of the whole point of regression analysis.
ET
Ettie
1 year ago
E) A Correlation does not explain causation but a Regression Analysis with a statistically valid mathematical equation does explain causation
MY
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
LE
Leota
1 year ago
B) General Regression Analysis deals only with Continuous Data
CH
Cherry
2 years 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!
GA
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
GA
Gail
1 year ago
A) The Correlation Coefficient is always greater than the Regression Coefficient in a SLR
AL
Alfreda
2 years ago
I believe E is also applicable, as Regression Analysis can explain causation.
JE
Jeanice
2 years ago
I agree with you, Micaela. D is about quantifying the significance of variation in X.
MI
Micaela
2 years ago
I think D is definitely one of the characteristics of SLR.