ASQ
CSSBB · Question #402
Choose those characteristics of a Simple Linear Regression (SLR) Analysis that are applicable. (Note: There are 3 correct answers).
The correct answer is A. The Correlation Coefficient is always greater than the Regression Coefficient in a SLR D. SLR can help quantify the significance of variation in X that influences the variation in Y via a E. A Correlation does not explain causation but a Regression Analysis with a statistically valid. See the full explanation below for the reasoning.
Analyze Phase
Question
Choose those characteristics of a Simple Linear Regression (SLR) Analysis that are applicable. (Note: There are 3 correct answers).
Options
- 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
- DSLR can help quantify the significance of variation in X that influences the variation in Y via a
- EA Correlation does not explain causation but a Regression Analysis with a statistically valid
How the community answered
(29 responses)- A83% (24)
- B3% (1)
- C14% (4)
Topics
#simple linear regression#correlation coefficient#regression analysis#continuous data
Community Discussion
No community discussion yet for this question.