,
, MGT 6203 FINAL EXAM PART 1 – THEORY
| QUESTIONS AND ANSWERS | 2026
UPDATE | 100% CORRECT | WITH
COMPLETE SOLUTIONS.
SECTION 1: LINEAR REGRESSION & MODEL
EVALUATION (Questions 1-10)
Question 1
In a linear regression model, which of the following best defines the
adjusted R²?
A) The proportion of variance in the dependent variable explained by the
model, adjusted for the number of predictors
B) The correlation between the predicted and actual values
C) The percentage of data points that fall on the regression line
D) The proportion of variance explained by the intercept
Correct Answer: A) The proportion of variance in the dependent
variable explained by the model, adjusted for the number of
predictors
Rationale: Adjusted R² modifies R² to penalize the addition of unnecessary
predictors, providing a measure of model fit that accounts for model
complexity .
Question 2
A regression model has an R² of 0.85. This means:
, MGT 6203 FINAL EXAM PART 1 – THEORY
| QUESTIONS AND ANSWERS | 2026
UPDATE | 100% CORRECT | WITH
COMPLETE SOLUTIONS.
SECTION 1: LINEAR REGRESSION & MODEL
EVALUATION (Questions 1-10)
Question 1
In a linear regression model, which of the following best defines the
adjusted R²?
A) The proportion of variance in the dependent variable explained by the
model, adjusted for the number of predictors
B) The correlation between the predicted and actual values
C) The percentage of data points that fall on the regression line
D) The proportion of variance explained by the intercept
Correct Answer: A) The proportion of variance in the dependent
variable explained by the model, adjusted for the number of
predictors
Rationale: Adjusted R² modifies R² to penalize the addition of unnecessary
predictors, providing a measure of model fit that accounts for model
complexity .
Question 2
A regression model has an R² of 0.85. This means:
