REGRESSION ANALYSIS EXAMINATION QUESTIONS AND
CORRECT ANSWER WITH EXPLANATION GRADED A+
STUDY GUIDE SOUTHERN NEW HAMPSHIRE UNIVERSITY
1. Regression analysis is used to:
A. Model relationships between variables
B. Draw pictures only
C. Store data
D. Sort numbers only
Answer: A
Rationale: It studies relationships between dependent and independent variables.
2. Dependent variable is:
A. Outcome variable
B. Input variable
C. Constant
D. Random error
Answer: A
Rationale: It is the response being predicted.
3. Independent variable is:
A. Predictor variable
B. Output variable
C. Error term
D. Constant only
Answer: A
Rationale: It explains changes in the dependent variable.
4. Simple linear regression involves:
A. One predictor variable
B. Two dependent variables
C. No variables
D. Only constants
Answer: A
Rationale: It uses one independent variable.
5. Multiple regression involves:
A. More than one predictor variable
, B. One variable only
C. No variables
D. Random values only
Answer: A
Rationale: It includes multiple inputs.
6. Regression equation is generally written as:
A. y = a + bx
B. x = y²
C. y = x² + x³ only
D. y = constant only
Answer: A
Rationale: Standard linear form.
7. Slope (b) represents:
A. Change in y per unit x
B. Mean value
C. Constant error
D. Intercept only
Answer: A
Rationale: Rate of change.
8. Intercept (a) is:
A. Value of y when x = 0
B. Value of x when y = 0
C. Slope
D. Error term
Answer: A
Rationale: Starting value.
9. Residual is:
A. Difference between observed and predicted value
B. Mean value
C. Constant
D. Input variable
Answer: A
Rationale: Prediction error.
10. Least squares method minimizes:
A. Sum of squared residuals
, B. Mean value
C. Data size
D. Slope only
Answer: A
Rationale: Best-fit criterion.
11. Best-fit line is:
A. Line that minimizes errors
B. Random line
C. Horizontal line only
D. Vertical line only
Answer: A
Rationale: Optimal regression line.
12. Correlation measures:
A. Strength of relationship
B. Mean only
C. Variance only
D. Random values
Answer: A
Rationale: Association strength.
13. Correlation coefficient ranges:
A. -1 to +1
B. 0 to 100
C. 1 to 10
D. -∞ to ∞
Answer: A
Rationale: Standard range.
14. Positive correlation means:
A. Both variables increase together
B. One increases, other decreases
C. No relationship
D. Random relationship
Answer: A
Rationale: Direct relationship.
15. Negative correlation means:
A. One increases, other decreases
CORRECT ANSWER WITH EXPLANATION GRADED A+
STUDY GUIDE SOUTHERN NEW HAMPSHIRE UNIVERSITY
1. Regression analysis is used to:
A. Model relationships between variables
B. Draw pictures only
C. Store data
D. Sort numbers only
Answer: A
Rationale: It studies relationships between dependent and independent variables.
2. Dependent variable is:
A. Outcome variable
B. Input variable
C. Constant
D. Random error
Answer: A
Rationale: It is the response being predicted.
3. Independent variable is:
A. Predictor variable
B. Output variable
C. Error term
D. Constant only
Answer: A
Rationale: It explains changes in the dependent variable.
4. Simple linear regression involves:
A. One predictor variable
B. Two dependent variables
C. No variables
D. Only constants
Answer: A
Rationale: It uses one independent variable.
5. Multiple regression involves:
A. More than one predictor variable
, B. One variable only
C. No variables
D. Random values only
Answer: A
Rationale: It includes multiple inputs.
6. Regression equation is generally written as:
A. y = a + bx
B. x = y²
C. y = x² + x³ only
D. y = constant only
Answer: A
Rationale: Standard linear form.
7. Slope (b) represents:
A. Change in y per unit x
B. Mean value
C. Constant error
D. Intercept only
Answer: A
Rationale: Rate of change.
8. Intercept (a) is:
A. Value of y when x = 0
B. Value of x when y = 0
C. Slope
D. Error term
Answer: A
Rationale: Starting value.
9. Residual is:
A. Difference between observed and predicted value
B. Mean value
C. Constant
D. Input variable
Answer: A
Rationale: Prediction error.
10. Least squares method minimizes:
A. Sum of squared residuals
, B. Mean value
C. Data size
D. Slope only
Answer: A
Rationale: Best-fit criterion.
11. Best-fit line is:
A. Line that minimizes errors
B. Random line
C. Horizontal line only
D. Vertical line only
Answer: A
Rationale: Optimal regression line.
12. Correlation measures:
A. Strength of relationship
B. Mean only
C. Variance only
D. Random values
Answer: A
Rationale: Association strength.
13. Correlation coefficient ranges:
A. -1 to +1
B. 0 to 100
C. 1 to 10
D. -∞ to ∞
Answer: A
Rationale: Standard range.
14. Positive correlation means:
A. Both variables increase together
B. One increases, other decreases
C. No relationship
D. Random relationship
Answer: A
Rationale: Direct relationship.
15. Negative correlation means:
A. One increases, other decreases
