WGU C955 - MODULE 6: CORRELATION &
REGRESSION EXACT EXAM 2026/ QUESTIONS
AND ANSWERS 100% VERIFIED ANSWERS
10 QUESTIONS
TABLE OF CONTENTS
# TOPIC
1 Interpret scatterplots and correlation coefficients to describe relationships between variables
2 Compute and interpret the least-squares regression line, residuals, and the coefficient of determination
3 Evaluate the impact of outliers and influential points on correlation and regression analyses
4 WGU C955
5 Module 6
6 Correlation & Regression Exact Exam 2026
7 Questions and Answers 100% Verified Answers
8 Foundations of Statistics
9 Applied Statistics
10 Advanced Statistics
ABSTRACT
This study document brings together 10 carefully worded exam questions drawn from WGU C955 -
Module 6: Correlation & Regression Exact Exam 2026/ Questions and Answers 100% Verified
Answers, with the strongest emphasis placed on Interpret scatterplots and correlation coefficients
to describe relationships between variables, Compute and interpret the least-squares regression
line, residuals, and the coefficient of determination and Evaluate the impact of outliers and
influential points on correlation and regression analyses. Every item follows the wording style and
level of reasoning you meet in the real paper, and each one is paired with a clear rationale so the
correct choice is never a guess. Work through the set at your own pace, mark the questions that
slow you down, then come back to them until the reasoning feels automatic. Learners who revise
this way walk into the exam room recognising the pattern behind the questions instead of meeting
them for the first time. Keep going - steady, honest practice is what turns a difficult paper into a
comfortable pass.
Page 1
, Q1 INTERPRET SCATTERPLOTS AND CORRELATION COEFFICIENTS TO DESCRIBE
RELATIONSHIPS BETWEEN VARIABLES
A study examines the relationship between daily temperature (°C) and hot
chocolate sales (in dollars) at a café. The correlation is r = -0.85. If the temperature
is converted to Fahrenheit (°F), what is the new correlation?
A. -0.85 CORRECT
B. 0.85
C. -0.85 * (9/5)
D. Cannot be determined without data
RATIONALE: Correlation is unitless and invariant to linear transformations of either variable.
Converting temperature from Celsius to Fahrenheit is a linear transformation, so the correlation
remains -0.85. The other options incorrectly suggest a change in correlation magnitude or sign.
Q2 COMPUTE AND INTERPRET THE LEAST-SQUARES REGRESSION LINE, RESIDUALS, AND
THE COEFFICIENT OF DETERMINATION
In a simple linear regression, the least-squares regression line is y = 2 + 3x. If the
standard deviation of x is 2 and the standard deviation of y is 6, what is the
correlation coefficient?
A. 0.5
B. 0.75
C. 1.0 CORRECT
D. 0.25
RATIONALE: The slope b = r * (sy/sx). Here b=3, sy=6, sx=2, so 3 = r * (6/2) => 3 = 3r => r=1.
The correlation is 1, indicating a perfect positive linear relationship. Other options are incorrect
because they do not satisfy the slope formula.
Page 2
REGRESSION EXACT EXAM 2026/ QUESTIONS
AND ANSWERS 100% VERIFIED ANSWERS
10 QUESTIONS
TABLE OF CONTENTS
# TOPIC
1 Interpret scatterplots and correlation coefficients to describe relationships between variables
2 Compute and interpret the least-squares regression line, residuals, and the coefficient of determination
3 Evaluate the impact of outliers and influential points on correlation and regression analyses
4 WGU C955
5 Module 6
6 Correlation & Regression Exact Exam 2026
7 Questions and Answers 100% Verified Answers
8 Foundations of Statistics
9 Applied Statistics
10 Advanced Statistics
ABSTRACT
This study document brings together 10 carefully worded exam questions drawn from WGU C955 -
Module 6: Correlation & Regression Exact Exam 2026/ Questions and Answers 100% Verified
Answers, with the strongest emphasis placed on Interpret scatterplots and correlation coefficients
to describe relationships between variables, Compute and interpret the least-squares regression
line, residuals, and the coefficient of determination and Evaluate the impact of outliers and
influential points on correlation and regression analyses. Every item follows the wording style and
level of reasoning you meet in the real paper, and each one is paired with a clear rationale so the
correct choice is never a guess. Work through the set at your own pace, mark the questions that
slow you down, then come back to them until the reasoning feels automatic. Learners who revise
this way walk into the exam room recognising the pattern behind the questions instead of meeting
them for the first time. Keep going - steady, honest practice is what turns a difficult paper into a
comfortable pass.
Page 1
, Q1 INTERPRET SCATTERPLOTS AND CORRELATION COEFFICIENTS TO DESCRIBE
RELATIONSHIPS BETWEEN VARIABLES
A study examines the relationship between daily temperature (°C) and hot
chocolate sales (in dollars) at a café. The correlation is r = -0.85. If the temperature
is converted to Fahrenheit (°F), what is the new correlation?
A. -0.85 CORRECT
B. 0.85
C. -0.85 * (9/5)
D. Cannot be determined without data
RATIONALE: Correlation is unitless and invariant to linear transformations of either variable.
Converting temperature from Celsius to Fahrenheit is a linear transformation, so the correlation
remains -0.85. The other options incorrectly suggest a change in correlation magnitude or sign.
Q2 COMPUTE AND INTERPRET THE LEAST-SQUARES REGRESSION LINE, RESIDUALS, AND
THE COEFFICIENT OF DETERMINATION
In a simple linear regression, the least-squares regression line is y = 2 + 3x. If the
standard deviation of x is 2 and the standard deviation of y is 6, what is the
correlation coefficient?
A. 0.5
B. 0.75
C. 1.0 CORRECT
D. 0.25
RATIONALE: The slope b = r * (sy/sx). Here b=3, sy=6, sx=2, so 3 = r * (6/2) => 3 = 3r => r=1.
The correlation is 1, indicating a perfect positive linear relationship. Other options are incorrect
because they do not satisfy the slope formula.
Page 2
