MGT 6203 Midterm Part 1 and part 2
Exam | Questions and Answers | 2026
Update | 100% Correct – GT.
MGT 6203 Midterm – Part 1 (Questions 1–100)
Question 1
In linear regression, what does the coefficient represent?
A) Change in dependent variable per unit change in independent variable
B) Change in independent variable per unit change in dependent variable
C) The intercept only
D) The error term
Correct ,, Resolution Result Verified Answers ,,,: A
Question 2
What is R-squared in regression?
A) Proportion of variance explained by the model
B) Correlation between predictors
C) Model error
D) Number of predictors
,Correct ,, Resolution Result
Verified Answers ,,,: A
Question 3
Which of the following is not an assumption of linear regression?
A) Linearity
B) Independence of errors
C) Normality of predictors
D) Homoscedasticity
Correct ,, Resolution Result Verified Answers ,,,: C
Question 4
What is multicollinearity?
A) High correlation among independent variables
B) High correlation between independent and dependent variables
C) Non-linear relationship
D) Missing data
Correct ,, Resolution Result Verified Answers ,,,: A
Question 5
Which method helps detect multicollinearity?
A) Variance Inflation Factor (VIF)
B) R-squared
,C) p-value
D) F-statistic
Correct ,, Resolution Result Verified Answers ,,,: A
Question 6
What does a VIF > 10 generally indicate?
A) Severe multicollinearity
B) No multicollinearity
C) Perfect model fit
D) Homoscedasticity
Correct ,, Resolution Result Verified Answers ,,,: A
Question 7
In logistic regression, the dependent variable is:
A) Continuous
B) Binary or categorical
C) Time series
D) Unbounded
Correct ,, Resolution Result Verified Answers ,,,: B
Question 8
The logit function maps probabilities to:
A) [0,1]
, B) (-∞, +∞)
C) [0, ∞)
D) (-1, 1)
Correct ,, Resolution Result Verified Answers ,,,: B
Question 9
In logistic regression, the odds ratio for a binary predictor is:
A) e^(coefficient)
B) coefficient
C) 1/coefficient
D) log(coefficient)
Correct ,, Resolution Result Verified Answers ,,,: A
Question 10
What is the confusion matrix?
A) Table of true vs. predicted classifications
B) Matrix of correlations
C) Covariance matrix
D) Distance matrix
Correct ,, Resolution Result Verified Answers ,,,: A
Question 11
Exam | Questions and Answers | 2026
Update | 100% Correct – GT.
MGT 6203 Midterm – Part 1 (Questions 1–100)
Question 1
In linear regression, what does the coefficient represent?
A) Change in dependent variable per unit change in independent variable
B) Change in independent variable per unit change in dependent variable
C) The intercept only
D) The error term
Correct ,, Resolution Result Verified Answers ,,,: A
Question 2
What is R-squared in regression?
A) Proportion of variance explained by the model
B) Correlation between predictors
C) Model error
D) Number of predictors
,Correct ,, Resolution Result
Verified Answers ,,,: A
Question 3
Which of the following is not an assumption of linear regression?
A) Linearity
B) Independence of errors
C) Normality of predictors
D) Homoscedasticity
Correct ,, Resolution Result Verified Answers ,,,: C
Question 4
What is multicollinearity?
A) High correlation among independent variables
B) High correlation between independent and dependent variables
C) Non-linear relationship
D) Missing data
Correct ,, Resolution Result Verified Answers ,,,: A
Question 5
Which method helps detect multicollinearity?
A) Variance Inflation Factor (VIF)
B) R-squared
,C) p-value
D) F-statistic
Correct ,, Resolution Result Verified Answers ,,,: A
Question 6
What does a VIF > 10 generally indicate?
A) Severe multicollinearity
B) No multicollinearity
C) Perfect model fit
D) Homoscedasticity
Correct ,, Resolution Result Verified Answers ,,,: A
Question 7
In logistic regression, the dependent variable is:
A) Continuous
B) Binary or categorical
C) Time series
D) Unbounded
Correct ,, Resolution Result Verified Answers ,,,: B
Question 8
The logit function maps probabilities to:
A) [0,1]
, B) (-∞, +∞)
C) [0, ∞)
D) (-1, 1)
Correct ,, Resolution Result Verified Answers ,,,: B
Question 9
In logistic regression, the odds ratio for a binary predictor is:
A) e^(coefficient)
B) coefficient
C) 1/coefficient
D) log(coefficient)
Correct ,, Resolution Result Verified Answers ,,,: A
Question 10
What is the confusion matrix?
A) Table of true vs. predicted classifications
B) Matrix of correlations
C) Covariance matrix
D) Distance matrix
Correct ,, Resolution Result Verified Answers ,,,: A
Question 11