CAS Exam MAS-I Spring 2018, Question 32
Study guide: Exam MAS-I
Two different data sets were used to construct the four regression models below. The following output was produced from the models:
| Data Set | Model | Dependent variable | Independent variables | Total Sum of Squares | Residual Sum of Squares |
|---|---|---|---|---|---|
| A | 1 | Y_A |
X_{A1}, X_{A2} |
35,930 | 2,823 |
| A | 2 | X_{A1} |
X_{A2} |
92,990 | 7,070 |
| B | 3 | Y_B |
X_{B1}, X_{B2} |
27,570 | 13,240 |
| B | 4 | X_{B1} |
X_{B2} |
87,020 | 34,650 |
Determine which one of the following statements best describes the data.
- A) Collinearity is present in both data sets A and B.
- B) Collinearity is present in neither data set A nor B.
- C) Collinearity is present in data set A only.
- D) Collinearity is present in data set B only.
- E) The degree of collinearity cannot be determined from the information given.
Answer this question and see the worked solution