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 relationship between variables
B. Encrypt data
C. Store files
D. Delete records
Answer: A
Rationale: It explains how variables relate to each other.
2. The dependent variable is:
A. The outcome variable
B. The input variable
C. A constant value
D. A random value
Answer: A
Rationale: It is the variable being predicted.
3. Independent variables are:
A. Predictors
B. Outcomes
C. Errors
D. Constants
Answer: A
Rationale: They influence the dependent variable.
4. Simple linear regression uses:
,A. One independent variable
B. Two dependent variables
C. No variables
D. Random variables
Answer: A
Rationale: One predictor is used.
5. Multiple regression uses:
A. More than one independent variable
B. Only one variable
C. No variables
D. Random values
Answer: A
Rationale: Multiple predictors are included.
6. Regression equation is generally written as:
A. y = a + bx
B. x = y + a
C. a = b + y
D. y = x² only
Answer: A
Rationale: Standard linear form.
7. Slope in regression represents:
A. Change in y per unit change in x
B. Total data size
C. Error term
D. Constant only
Answer: A
Rationale: Relationship strength.
8. Intercept is:
, A. Value of y when x = 0
B. Maximum value
C. Minimum value
D. Random value
Answer: A
Rationale: Starting point of line.
9. Correlation measures:
A. Strength of relationship
B. Data storage
C. Encryption
D. Deletion
Answer: A
Rationale: Association between variables.
10. Correlation coefficient ranges between:
A. -1 and +1
B. 0 and 100
C. 1 and 10
D. -100 and 100
Answer: A
Rationale: Standard correlation range.
11. Positive correlation means:
A. Both variables increase together
B. One increases, one decreases
C. No relationship
D. Random relationship
Answer: A
Rationale: Direct relationship.
12. Negative correlation means:
CORRECT ANSWER WITH EXPLANATION GRADED A+
STUDY GUIDE SOUTHERN NEW HAMPSHIRE UNIVERSITY
1. Regression analysis is used to:
A. Model relationship between variables
B. Encrypt data
C. Store files
D. Delete records
Answer: A
Rationale: It explains how variables relate to each other.
2. The dependent variable is:
A. The outcome variable
B. The input variable
C. A constant value
D. A random value
Answer: A
Rationale: It is the variable being predicted.
3. Independent variables are:
A. Predictors
B. Outcomes
C. Errors
D. Constants
Answer: A
Rationale: They influence the dependent variable.
4. Simple linear regression uses:
,A. One independent variable
B. Two dependent variables
C. No variables
D. Random variables
Answer: A
Rationale: One predictor is used.
5. Multiple regression uses:
A. More than one independent variable
B. Only one variable
C. No variables
D. Random values
Answer: A
Rationale: Multiple predictors are included.
6. Regression equation is generally written as:
A. y = a + bx
B. x = y + a
C. a = b + y
D. y = x² only
Answer: A
Rationale: Standard linear form.
7. Slope in regression represents:
A. Change in y per unit change in x
B. Total data size
C. Error term
D. Constant only
Answer: A
Rationale: Relationship strength.
8. Intercept is:
, A. Value of y when x = 0
B. Maximum value
C. Minimum value
D. Random value
Answer: A
Rationale: Starting point of line.
9. Correlation measures:
A. Strength of relationship
B. Data storage
C. Encryption
D. Deletion
Answer: A
Rationale: Association between variables.
10. Correlation coefficient ranges between:
A. -1 and +1
B. 0 and 100
C. 1 and 10
D. -100 and 100
Answer: A
Rationale: Standard correlation range.
11. Positive correlation means:
A. Both variables increase together
B. One increases, one decreases
C. No relationship
D. Random relationship
Answer: A
Rationale: Direct relationship.
12. Negative correlation means:
