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Exam LSSBB topic 1 question 197 discussion

Actual exam question from Six Sigma's LSSBB
Question #: 197
Topic #: 1
[All LSSBB Questions]

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

  • A. The Correlation Coefficient is always greater than the Regression Coefficient in a SLR
  • B. General Regression Analysis deals only with Continuous Data
  • 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
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Suggested Answer: ADE 🗳️
by Yaseen03 at June 13, 2020, 4:39 a.m.

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Yaseen03
4 years, 7 months ago
R= R2, If R=1 so the first option is not correct
upvoted 2 times
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Yaseen03
4 years, 7 months ago
Neither correlation nor regression can indicate causation!
upvoted 2 times
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