1. In the following correlation matrix, variable 1 is the dependent variable 78

Question

1. In the following correlation matrix, variable 1 is the dependent variable 78 43 23 07 09 .87 -.87 78 23 2 43 .07 4 09 a) Are variables 2,3, and 4 good potential predictor variables? b) Will multicollinearity be a problem for any combination? c) Which variable(s) will be included in the final model? 2. In the following correlation matrix, variable 1 is the dependent variable 2 92 81 21 84 75 .21 a) Are variables 2,3, and 4 good potential predictor variables? 84 92 7S 81 b) Will multicollinearity be a problem for any combination? c) Which variable(s) will be included in the final model?

Explanation / Answer

1)

Are variables 2,3, and 4 good potential predictor variables ?

No. Not all of the variables 2,3, and 4 good potential predictor variables

Will multicollinearity be a problem for any combination?

Yes, multi collinearity will be a problem for some of the combinstions. Some combos like 1 and 2 (-.87), 3 and 1(.78)

are highly collinear, and thus cant be used

Which variable(s) will be included in the final model?

Variable 1 and 4 can be used. 1 is used, can explain 2 and 3. 4 can ve used

2)

a) 2, 3 ,4 are very good predicor of 2 .
This is due the fact of high correlation with the variable 1

b) Yes, amongst themselves the variables are hihly collinear
For example, 3 and 2 have a correlation of .72, 4 and 2 have .81

c) 4, 3 can be in the model. 3 and 4 dont have so much correaltion
against each other. 2 has, so its removed

Related Questions

Navigate

• Browse (All)
• Browse 1
• Subjects

---

---

Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.